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Publication:3999364
zbMath0732.62004MaRDI QIDQ3999364
Publication date: 17 September 1992
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
behavioral theoryimprecise probabilitiesstatistical modelsinferencesBayesian sensitivity analysislinear functional analysisunconditional probabilityassessment strategiesmethods of reasoningprinciples of coherence
Bayesian problems; characterization of Bayes procedures (62C10) Foundations and philosophical topics in statistics (62A01) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Statistical decision theory (62C99)
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I: The angelic cases, Defeasible conditionalization, The principle of maximum entropy and a problem in probability kinematics, Independent products in infinite spaces, Why frequentists and Bayesians need each other, A graded Bayesian coherence notion, Symmetric coherent upper conditional prevision defined by the Choquet integral with respect to Hausdorff outer measure, Calibration, sharpness and the weighting of experts in a linear opinion pool, Inferential processes leading to possibility and necessity, Coherent Dempster-Shafer equilibrium and ambiguous signals, Uses and computation of imprecise probabilities from statistical data and expert arguments, Envelopes of conditional probabilities extending a strategy and a prior probability, Robustness in Bayesian nonparametrics, Partial identification in statistical matching with misclassification, Conditional choice with a vacuous second tier, The Bayesian who knew too much, Towards a geometry of imprecise inference, On the complexity of propositional and relational credal networks, The multilabel naive credal classifier, The limit behaviour of imprecise continuous-time Markov chains, The behavioral meaning of the median, A geometric and game-theoretic study of the conjunction of possibility measures, Fuzzy valued probability, Nonparametric predictive category selection for multinomial data, Knightian decision theory and econometric inferences, A decision theory for partially consonant belief functions, Imprecise set and fuzzy valued probability, Random sets as imprecise random variables, Lower previsions induced by multi-valued mappings, CEU preferences and dynamic consistency, Axiomatic structure of \(k\)-additive capacities, Building classification trees using the total uncertainty criterion, Robust queueing theory: an initial study using imprecise probabilities, Hybrid behaviour of Markov population models, Dual representation of convex sets of probability measures on totally bounded spaces, Graphoid properties of epistemic irrelevance and independence, Probabilistic logic under coherence: complexity and algorithms, Belief models: An order-theoretic investigation, Robust inference of trees, Robust reasoning with rules that have exceptions: From second-order probability to argumentation via upper envelopes of probability and possibility plus directed graphs, Special issue: Imprecise probability perspectives on artificial intelligence. Selected papers based on the presentation at the 2nd international symposium on imprecise probabilities and their applications (ISIPTA '01), Ithaca, NY, USA, June 26--29, 2001, Epistemic irrelevance on sets of desirable gambles, Coherent lower and upper conditional previsions defined by Hausdorff inner and outer measures to represent the role of conscious and unconscious thought in human decision making, Joint desirability foundations of social choice and opinion pooling, A graphical study of comparative probabilities, On stochastic independence under ambiguity, Dynamic consistency, valuable information and subjective beliefs, Impact probability under aleatory and epistemic uncertainties, Coherence graphs, Higher order models for fuzzy random variables, Representing parametric probabilistic models tainted with imprecision, On the granularity of summative kernels, Extreme lower probabilities, A new framework for the Bayesian analysis of single-stage decision problems with imprecise utilities, A dynamic mechanism and surplus extraction under ambiguity, Why indeterminate probability is rational, On nonparametric predictive inference and objective Bayesianism, Rational acceptance and conjunctive/disjunctive absorption, Towards combining probabilistic and interval uncertainty in engineering calculations: algorithms for computing statistics under interval uncertainty, and their computational complexity, Interval-type and affine arithmetic-type techniques for handling uncertainty in expert systems, On the calculation of the bounds of probability of events using infinite random sets, Interval finite elements as a basis for generalized models of uncertainty in engineering mechanics, The shape of incomplete preferences, Unimodality, independence lead to NP-hardness of interval probability problems, Necessary and sufficient consensus conditions for the eventwise aggregation of lower probabili\-ties, Fast algorithms for robust classification with Bayesian nets, Computing lower and upper expectations under epistemic independence, Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks, A probabilistic logic based on the acceptability of gambles, Decision making under incomplete data using the imprecise Dirichlet model, Extreme points of coherent probabilities in finite spaces, Notes on ``Notes on conditional previsions, Notes on conditional previsions, Interval or moments: which carry more information?, Reliable kinetic Monte Carlo simulation based on random set sampling, An intuitionistic view of the Dempster-Shafer belief structure, Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams, Coherent conditional measures of risk defined by the Choquet integral with respect to Hausdorff outer measure and stochastic independence in risk management, Joint distributions of random sets and their relation to copulas, Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing, ``Agreeing to disagree type results under ambiguity, Sklar's theorem for minitive belief functions, \(k\)-sample upper expectation linear regression-modeling, identifiability, estimation and prediction, Characterising transitive two-sample tests, Conditioning, updating and lower probability zero, Efficient computation of the bounds of continuous time imprecise Markov chains, Subjective probabilities need not be sharp, Uncertainty, learning, and the ``problem of dilation, Demystifying dilation, Sequential decision making with partially ordered preferences, Combining marginal probability distributions via minimization of weighted sum of Kullback-Leibler divergences, Probability boxes on totally preordered spaces for multivariate modelling, Using mathematical programming to solve factored Markov decision processes with imprecise probabilities, Sets of desirable gambles: conditioning, representation, and precise probabilities, A logical characterization of coherence for imprecise probabilities, Dynamically consistent updating of multiple prior beliefs -- an algorithmic approach, Decision analysis with indeterminate or incoherent probabilities, Regular updating, Independent natural extension, Preferences representable by a lower expectation: Some characterizations, Is there a need for fuzzy logic?, \(n\)-monotone exact functionals, Forward irrelevance, Constrained optimization problems under uncertainty with coherent lower previsions, Decision-theoretic specification of credal networks: a unified language for uncertain modeling with sets of Bayesian networks, Representation insensitivity in immediate prediction under exchangeability, A nonparametric predictive alternative to the imprecise Dirichlet model: the case of a known number of categories, Learning in games using the imprecise Dirichlet model, Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data, Importance sampling for Bayesian sensitivity analysis, Updating under unknown unknowns: an extension of Bayes' rule, Limits of learning about a categorical latent variable under prior near-ignorance, Williams coherence and beyond, Data-based decisions under imprecise probability and least favorable models, Finite approximations to coherent choice, Computing expectations with continuous \(p\)-boxes: univariate case, Dynamic capital allocation with distortion risk measures, Two axiomatic approaches to decision making using possibility theory, Equivalence of methods for uncertainty propagation of real-valued random variables, Conditioning and updating evidence, Considerations on jury size and composition using lower probabilities, Agreeable trade with optimism and pessimism, Nonparametric predictive methods for acceptance sampling, A labelling framework for probabilistic argumentation, Smoothing preference kinks with information, Comparative expectations, Reasoning about uncertain conditionals, Extreme lower previsions, On regularities of mass phenomena, Applying fuzzy measures and nonlinear integrals in data mining, Inferring a possibility distribution from empirical data, A framework for linguistic modelling, The limitation of Bayesianism, Updating beliefs with incomplete observations, Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation, Facets of the cone of exact games, Information efficient learning of complexly structured preferences: elicitation procedures and their application to decision making under uncertainty, Exposing some points of interest about non-exposed points of desirability, Comonotone lower probabilities with robust marginal distributions functions, Scoring rules for belief functions and imprecise probabilities: a comparison, Dempster-Shafer approximations and probabilistic bounds in statistical matching, Multi-label chaining with imprecise probabilities, Centroids of credal sets: a comparative study, Algebras of sets and coherent sets of gambles, Stochastic efficiency and inefficiency in portfolio optimization with incomplete information: a set-valued probability approach, Exact credibility reference Bayesian premiums, A central limit theorem for sets of probability measures, Qualitative capacities: basic notions and potential applications, Measures of uncertainty in expert systems, Multi-agent logics for reasoning about higher-order upper and lower probabilities, Ergodicity of invariant capacities, On the quantification and efficient propagation of imprecise probabilities with copula dependence, New two-sided confidence intervals for binomial inference derived using Walley's imprecise posterior likelihood as a test statistic, Toward a Dempster-Shafer theory of concepts, Modelling epistemic irrelevance with choice functions, Thirty years of credal networks: specification, algorithms and complexity, Mixed fuzzy least absolute regression analysis with quantitative and probabilistic linguistic information, Final solution to the problem of relating a true copula to an imprecise copula, An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection, Construction method of coherent lower and upper previsions based on collection integrals, Collection integral on infinite spaces, On nonlinear expectations and Markov chains under model uncertainty, A particular upper expectation as global belief model for discrete-time finite-state uncertain processes, Graphoid properties of concepts of independence for sets of probabilities, The measurement of relations on belief functions based on the Kantorovich problem and the Wasserstein metric, On standard completeness and finite model property for a probabilistic logic on Łukasiewicz events, Logics of imprecise comparative probability, Average behaviour in discrete-time imprecise Markov chains: a study of weak ergodicity, Improving and benchmarking of algorithms for \(\Gamma \)-maximin, \( \Gamma \)-maximax and interval dominance, A universal approach to imprecise probabilities in possibility theory, A survey of decision making and optimization under uncertainty, Compatibility, desirability, and the running intersection property, Effects of prior distributions: an application to piped water demand, On the logical structure of de Finetti's notion of event, Evaluating betting odds and free coupons using desirability, Decision making with imprecise probabilities and utilities by means of statistical preference and stochastic dominance, Decision making in phantom spaces, Pari-mutuel probabilities as an uncertainty model, Inequalities of uncertain set with its applications, Lower previsions induced by filter maps, When upper conditional probabilities are conditional possibility measures, Fuzzy logic -- a personal perspective, Coherent choice functions under uncertainty, Probability logic, logical probability, and inductive support, Merging the local and global approaches to probabilistic satisfiability, Management of uncertainty in statistical reasoning: the case of regression analysis, Probabilistic abduction without priors, A definition of subjective possibility, Inference in directed evidential networks based on the transferable belief model, A survey of the theory of coherent lower previsions, Hybrid uncertainty analysis of functionally graded plates via multiple-imprecise-random-field modelling of uncertain material properties, Machine learning models, epistemic set-valued data and generalized loss functions: an encompassing approach, Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval, Outer approximating coherent lower probabilities with belief functions, On data-based estimation of possibility distributions, Canonical sequences of monotone measures, Judicious judgment meets unsettling updating: dilation, sure loss and Simpson's paradox, Comment on: ``Settle the unsettling: an inferential models perspective, Comment on: ``Moving beyond sets of probabilities, Comment on: ``On focusing, soft and strong revision of Choquet capacities and their role in statistics, On de Finetti's instrumentalist philosophy of probability, Savage for dummies and experts, A measure of ambiguity (Knightian uncertainty), Inference with nearly-linear uncertainty models, The contradiction between belief functions: its description, measurement, and correction based on generalized credal sets, On a new partial order on bivariate distributions and on constrained bounds of their copulas, Game-theoretic upper expectations for discrete-time finite-state uncertain processes, Spatial and temporal white noises under sublinear \(G\)-expectation, Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods, The imprecise impermissivist's dilemma, Conditional submodular Choquet expected values and conditional coherent risk measures, False confidence, non-additive beliefs, and valid statistical inference, Credence for conclusions: a brief for Jeffrey's rule, A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds, Uncertainty modelling and computational aspects of data association, The weirdness theorem and the origin of quantum paradoxes, Bayesian inference: the role of coherence to deal with a prior belief function, Belief hedges: Measuring ambiguity for all events and all models, Updating confidence in beliefs, Randomness is inherently imprecise, Validity, consonant plausibility measures, and Conformal prediction, Causal interpretation of graphical models, Dilation properties of coherent Nearly-Linear models, Coherent and Archimedean choice in general Banach spaces, Information algebras in the theory of imprecise probabilities, Belief functions and rough sets: survey and new insights, Learning under unawareness, Valid inferential models for prediction in supervised learning problems, Normal cones corresponding to credal sets of lower probabilities, Probability envelopes and their Dempster-Shafer approximations in statistical matching, Information algebras in the theory of imprecise probabilities, an extension, Quantum indistinguishability through exchangeability, Nonlinear desirability as a linear classification problem, Ergodic theorems for dynamic imprecise probability kinematics, Independent natural extension for choice functions, Linearization of Bayesian robustness problems, Posterior robustness with more than one sampling model. (With discussion), The dilation phenomenon in robust Bayesian inference. (With discussion), Conditioning (updating) non-additive measures, An overview of robust Bayesian analysis. (With discussion), Using probability trees to compute marginals with imprecise probabilities, Belief function independence: I. The marginal case, A semantics for possibility theory based on likelihoods, What can the foundations discussion contribute to data analysis? And what may be some of the future directions in robust methods and data analysis?, Lower probability models for uncertainty and non-deterministic processes, Low structure imprecise predictive inference for Bayes' problem, Comparing two populations based on low stochastic structure assumptions, Propagating imprecise probabilities in Bayesian networks, Epistemic independence in numerical possibility theory., Belief function independence. II: The conditional case., A new understanding of subjective probability and its generalization to lower and upper prevision., Extreme points of credal sets generated by 2-alternating capacities, The normative representation of quantified beliefs by belief functions, Expected utility within a generalized concept of probability -- a comprehensive framework for decision making under ambiguity, The symmetric and asymmetric Choquet integrals on finite spaces for decision making, Exact functionals and their core, Statistical inference with partial prior information based on a Gauss-type inequality, Interval reliability of typical systems with partially known probabilities., IID: Independently and indistinguishably distributed., Comments on Shafer's Perspectives on the theory and practice of belief functions, Rejoinders to comments on Perspectives on the theory and practice of belief functions, Ambiguity and decision modeling: A preference-based approach, Combination of partially non-distinct beliefs: the cautious-adaptive rule, Finite approximations of data-based decision problems under imprecise probabilities, Discrete time Markov chains with interval probabilities, Warp effects on calculating interval probabilities, Conditional models: coherence and inference through sequences of joint mass functions, Imprecise conjugate prior densities for the one-parameter exponential family of distributions, Revising incomplete attitudes, On the existence, uniqueness and correctness of the fracture diameter distribution given the fracture trace length distribution, Comparing three ways to update Choquet beliefs, Measures of uncertainty for imprecise probabilities: an axiomatic approach, Correction of incoherent conditional probability assessments, Independence concepts in evidence theory, Decision making under uncertainty using imprecise probabilities, Joint propagation of probability and possibility in risk analysis: towards a formal framework, Degree of imprecision: geometric and algorithmic approaches, Updating our beliefs about inconsistency: The Monty-Hall case, Bets and boundaries: Assigning probabilities to imprecisely specified events, Generalized theory of uncertainty (GTU) -- principal concepts and ideas, Possibility theory and statistical reasoning, Random and fuzzy sets in coarse data analysis, Practical representations of incomplete probabilistic knowledge, A frequentist understanding of sets of measures, Range of the posterior probability of an interval for priors with unimodality preserving contaminations, Imprecise probabilistic beliefs as a context for decision-making under ambiguity, Eliciting beliefs, 2U: an exact interval propagation algorithm for polytrees with binary variables, Partially observable Markov decision processes with imprecise parameters, Stochastic dominance tests for ranking alternatives under ambiguity, The theory of approximate prices: Analytical foundations of experimental cost-benefit analysis in a fuzzy-decision space, Weak and strong laws of large numbers for coherent lower previsions, A new type of nonlinear and the computational algorithm, Choquet integrals as projection operators for quantified tomographic reconstruction, A Monte Carlo-based method for the estimation of lower and upper probabilities of events using infinite random sets of indexable type, Updating coherent previsions on finite spaces, Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice, Minimum distance estimation in imprecise probability models, Nonparametric predictive comparison of lifetime data under progressive censoring, The theory of interval probabilistic logic programs, Limit laws for non-additive probabilities and their frequentist interpretation, Credal networks, Quasi-continuous histograms, Genetic learning of fuzzy rules based on low quality data, Confidence relations and ordinal information, Ambiguous games, Survey on normal distributions, central limit theorem, Brownian motion and the related stochastic calculus under sublinear expectations, Multistage stochastic programming with fuzzy probability distribution, Decision making with interval probabilities, Bayesian conditioning in possibility theory, Cost-benefit analysis, benefit accounting and fuzzy decisions. I: Theory, Belief functions and default reasoning, The coherence argument against conditionalization, A Daniell-Kolmogorov theorem for supremum preserving upper probabilities, Modeling vague beliefs using fuzzy-valued belief structures., Nonlinear nonnegative multiregressions based on Choquet integrals, Some mathematical structures for computational information, Applying non-parametric robust Bayesian analysis to non-opinionated judicial neutrality, Towards a unified theory of imprecise probability, The theory of interval-probability as a unifying concept for uncertainty, Probabilistic satisfiability with imprecise probabilities, Computing posterior upper expectations, Axiomatic characterization of partial ordinal relations, Epistemic independence for imprecise probabilities, A generalization of the fundamental theorem of de Finetti for imprecise conditional probability assessments, The naive credal classifier, Inferred probabilities, Reconciling frequentist properties with the likelihood principle, Treatment choice under ambiguity induced by inferential problems, Implicative analysis for multivariate binary data using an imprecise Dirichlet model, Exact credal treatment of missing data, Nonlinear filtering of convex sets of probability distributions, Neyman-Pearson testing under interval probability by globally least favorable pairs: Reviewing Huber-Strassen theory and extending it to general interval probability, Precision-imprecision equivalence in a broad class of imprecise hierarchical uncertainty models, Generalizing Markov decision processes to imprecise probabilities, Statistics and causal inference: A review. (With discussion), Nonparametric predictive inference and interval probability, Classification with decision trees from a nonparametric predictive inference perspective, Credal ensembles of classifiers, Stochastic dominance with imprecise information, The philosophical significance of Cox's theorem, Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory, Three-group ROC analysis: a nonparametric predictive approach, Reliability models of \(m\)-out-of-\(n\) systems under incomplete information, Nonparametric predictive inference with right-censored data, Direct algorithms for checking consistency and making inferences from conditional probability assessments, An interval-based approach to model input uncertainty in M/M/1 simulation, The capacitated vehicle routing problem with evidential demands, A framework for sensitivity analysis of decision trees, Upper and lower probabilistic preferences in the graph model for conflict resolution, Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences, Kurt Weichselberger's contribution to imprecise probabilities and statistical inference, Towards an understanding of cloud services under uncertainty: a possibilistic approach, Classes of bidimensional priors specified on a collection of sets: Bayesian robustness, The physical-mathematical theory of hyper-random phenomena, The conflict between improper priors and robustness, Multilabel predictions with sets of probabilities: the Hamming and ranking loss cases, Online active learning of decision trees with evidential data, Conditional belief functions as lower envelopes of conditional probabilities in a finite setting, A representation of partially ordered preferences, Managing information uncertainty in wave height modeling for the offshore structural analysis through random set, Ranking of fuzzy intervals seen through the imprecise probabilistic lens, Sklar's theorem in an imprecise setting, Discovering user preferences using Dempster-Shafer theory, Multi-target PHD tracking and classification using imprecise likelihoods, The likelihood interpretation as the foundation of fuzzy set theory, Nonparametric predictive utility inference, Upper and lower conditional probabilities induced by a multivalued mapping, Filtering with clouds, A new definition of entropy of belief functions in the Dempster-Shafer theory, Lexicographic choice functions, Applying models of imprecise probabilities in the mathematical theory of criteria importance, A Gleason-type theorem for any dimension based on a gambling formulation of quantum mechanics, On extreme points of p-boxes and belief functions, Coefficients of ergodicity for Markov chains with uncertain parameters, Comonotonicity for sets of probabilities, Weakly consistent extensions of lower previsions, A flexible elicitation procedure for additive model scale constants, Safe probability, On the disintegration property of coherent upper conditional prevision defined by the Choquet integral with respect to its associated Hausdorff outer measure, On the median in imprecise ordinal problems, Representation theorems for partially exchangeable random variables, Finitely maxitive conditional possibilities, Bayesian-like inference, disintegrability and conglomerability, Probabilistic opinion pooling with imprecise probabilities, Controlling the degree of caution in statistical inference with the Bayesian and frequentist approaches as opposite extremes, Independence and 2-monotonicity: nice to have, hard to keep, Vagueness and probability: introduction, Vague credence, Imprecise probability and chance, Supremum preserving upper probabilities, Robust optimization approximation for ambiguous P-model and its application, Project net present value estimation under uncertainty, Linear criterion for testing the extremity of an exact game based on its finest min-representation, Identification of elastic properties in the belief function framework, Agreeing to disagree and dilation, Robustifying sum-product networks, 2-monotone outer approximations of coherent lower probabilities, Improved linear programming methods for checking avoiding sure loss, Evenly convex credal sets, Evidential split-and-merge: application to object-based image analysis, Independent natural extension for infinite spaces, Sum-of-squares for bounded rationality, Robust topological policy iteration for infinite horizon bounded Markov decision processes, Models for pessimistic or optimistic decisions under different uncertain scenarios, Approximation of incoherent probabilities, Efficient belief propagation in second-order Bayesian networks for singly-connected graphs, A general framework for maximizing likelihood under incomplete data, Ambiguous games without a state space and full rationality, Distribution network risk assessment using multicriteria fuzzy influence diagram, Mastering uncertainty in industry. I: A global methodological approach based on examples, More on random utility models with bounded ambiguity, Scenario-based portfolio model for building robust and proactive strategies, Characterization of a coherent upper conditional prevision as the Choquet integral with respect to its associated Hausdorff outer measure, Normal form backward induction for decision trees with coherent lower previsions, Value differences using second-order distributions, On the closure of families of fuzzy measures under eventwise aggregations, New distributions for modeling subjective lower and upper probabilities, Exchangeable choice functions, Ranking probability measures by inclusion indices in the case of unknown utility function, Coherent choice functions, desirability and indifference, A behavioral interpretation of belief functions, Statistical management of fuzzy elements in random experiments. I: A discussion on treating fuzziness as a kind of randomness, Incremental conditioning of lower and upper probabilities, In defense of the maximum entropy inference process, Choquet integrals and natural extensions of lower probabilities, Conditional preferences and updating., Robust Bayesian analysis: sensitivity to the prior, Symmetric, coherent, Choquet capacities, Reasoning with imprecise belief structures, Conditional expectation for monotone measures, the discrete case, Possibilistic information theory: A coding theoretic approach, A nonparametric predictive method for queues, Imprecise reliability for some new lifetime distribution classes, Toward a perception-based theory of probabilistic reasoning with imprecise probabilities, The aggregation of imprecise probabilities, On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems, Bayesian nonparametric system reliability using sets of priors, On the implications of integrating linear tracing procedure with imprecise probabilities, Computing lower and upper expected first-passage and return times in imprecise birth-death chains, Bruno de Finetti and imprecision: imprecise probability does not exist!, Partially identified prevalence estimation under misclassification using the kappa coefficient, Updating credal networks is approximable in polynomial time, Conglomerable natural extension, Characterizing joint distributions of random sets by multivariate capacities, Forecasting with imprecise probabilities, Evaluating credal classifiers by utility-discounted predictive accuracy, Finitely additive extensions of distribution functions and moment sequences: the coherent lower prevision approach, Some properties of a random set approximation to upper and lower distribution functions, Geometry of possibility measures on finite sets, Approximate algorithms for credal networks with binary variables, Probabilistic logic with independence, Coherent and convex fair pricing and variability measures, The fundamental theorems of prevision and asset pricing, Financial risk measurement with imprecise probabilities, Bayesian learning for a class of priors with prescribed marginals, Unifying practical uncertainty representations. I. Generalized \(p\)-boxes, Statistical matching of multiple sources: A look through coherence, Towards adding probabilities and correlations to interval computations, Probabilistic independence with respect to upper and lower conditional probabilities assigned by Hausdorff outer and inner measures, Updating Choquet beliefs, Lack of knowledge in structural model validation, The Hausdorff moment problem under finite additivity, An introduction to the imprecise Dirichlet model for multinomial data, Partial identification with missing data: concepts and findings, Graphical models for imprecise probabilities, Utilizing belief functions for the estimation of future climate change, Benefits of embedding structural constraints in coherent diagnostic processes, Upper entropy of credal sets. Applications to credal classification, Dynamic programming for deterministic discrete-time systems with uncertain gain, Inference in credal networks: Branch-and-bound methods and the A/R+ algorithm, Uncertainty modelling and conditioning with convex imprecise previsions, A behavioural model for vague probability assessments, From imprecise to granular probabilities, Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model, Imprecise probability trees: bridging two theories of imprecise probability, Probabilistic argumentation, Framing human inference by coherence based probability logic, Ambiguity, optimism, and pessimism in adverse selection models, Credal networks under epistemic irrelevance, Weak Dutch books with imprecise previsions, Logics with lower and upper probability operators, Probabilistic squares and hexagons of opposition under coherence, Basic ideas underlying conglomerability and disintegrability, Imprecise continuous-time Markov chains, Fuzzy memberships as likelihood functions in a possibilistic framework, A behavioural justification for using sensitivity analysis in imprecise multinomial processes, Stochastic finite element analysis of structures in the presence of multiple imprecise random field parameters, On Hurwicz-Nash equilibria of non-Bayesian games under incomplete information, Belief and contextual acceptance, Imprecision in statistical theory and practice, Nonadditive probabilities in statistics, Bounded densities and their derivatives: extension to other domains, On the imposition of shape constraints in a robust Bayesian analysis, Bayes theorem bounds for convex lower previsions, Time-homogeneous birth-death processes with probability intervals and absorbing state, Adaptive selection of extra cutpoints -- towards reconciling robustness and interpretability in classification trees, Almost-Pareto decision sets in imprecise utility hierarchies, Partition priming in judgments of imprecise probabilities, The imprecise logit-normal model and its application to estimating hazard functions, Semi-qualitative probabilistic networks in computer vision problems, The imprecise Dirichlet model for multilevel system reliability, Imprecision and prior-data conflict in generalized Bayesian inference, Nonparametric predictive precedence testing for two groups, Reliability-based decision making: a comparison of statistical approaches, Improving and benchmarking of algorithms for decision making with lower previsions, On the convexity of preferences in decisions and games under (quasi-)convex/concave imprecise probability correspondences, Nearly-linear uncertainty measures, Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability, Constructing copulas from shock models with imprecise distributions, The effect of prior probabilities on quantification and propagation of imprecise probabilities resulting from small datasets, Retracted: Sublinear expectation nonlinear regression for the financial risk measurement and management, A probabilistic evaluation framework for preference aggregation reflecting group homogeneity, Nonparametric predictive inference for accuracy of ordinal diagnostic tests, Classification with support vector machines and Kolmogorov-Smirnov bounds, Nonparametric predictive inference with combined data under different right-censoring schemes, Imprecise Dirichlet process with application to the hypothesis test on the probability that \(X \leq Y\), Full conglomerability, Limit theorems with rate of convergence under sublinear expectations, Multivariate capacity functionals vs. capacity functionals on product spaces, Preference orderings represented by coherent upper and lower conditional previsions, Solving sequential collective decision problems under qualitative uncertainty, Decision-making with belief functions: a review, Learning with imprecise probabilities as model selection and averaging, Accept \& reject statement-based uncertainty models, Representing qualitative capacities as families of possibility measures, Approximate credal network updating by linear programming with applications to decision making, Probabilistic satisfiability and coherence checking through integer programming, Ambiguity on the insurer's side: the demand for insurance, Extreme points of the credal sets generated by comparative probabilities, Do inferential processes affect uncertainty frameworks?, Belief function and multivalued mapping robustness in statistical estimation, Independence for full conditional probabilities: structure, factorization, non-uniqueness, and Bayesian networks, Pricing and hedging in a single period market with random interval valued assets, Conglomerable coherence, Kuznetsov independence for interval-valued expectations and sets of probability distributions: properties and algorithms, Databases for interval probabilities, Belief revision and information fusion on optimum entropy, Toward a definition and understanding of correlation for variables constrained by random relations, Numerical accuracy and efficiency in the propagation of epistemic and aleatory uncertainties, A Gambler’s Gain Prospects with Coherent Imprecise Previsions, Infinite Exchangeability for Sets of Desirable Gambles, An Empirical Comparison of Bayesian and Credal Set Theory for Discrete State Estimation, Sequential Decision Processes under Act-State Independence with Arbitrary Choice Functions, Restricting the IDM for Classification, Disaggregated total uncertainty measure for credal sets, Bounds on Causal Effects in Three-Arm Trials With Non-Compliance, Combining nonspecificity measures in Dempster–Shafer theory of evidence, Equivalence relations among dominance concepts on probability intervals and general credal sets, Coherent Frequentism: A Decision Theory Based on Confidence Sets, Minimizing regret in dynamic decision problems, Smoothing and Filtering with a Class of Outer Measures, Incomplete preferences on conditional random quantities: representability by conditional previsions, Stationary and almost sure divergence of time averages in interval-valued probability, Quantum probabilities as Dempster-Shafer probabilities in the lattice of subspaces, Credal sets representable by reachable probability intervals and belief functions, \(k\)-additive upper approximation of TU-games, Epistemic justification: its subjective and its objective ways, Convergence rate of Peng's law of large numbers under sublinear expectations, On the laws of the iterated logarithm with mean-uncertainty under sublinear expectations, Processing distortion models: a comparative study, Macsum: a new interval-valued linear operator, Rationality principles for preferences on belief functions, Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis, Statistical Inference from Ill-known Data Using Belief Functions, Ambiguous information and dilation: an experiment, A method for processing the unreliable expert judgments about parameters of probability distributions, Nonparametric predictive comparison of proportions, A subjectivist's guide to deterministic chance, Betting against the Zen monk: on preferences and partial belief, The infinite epistemic regress problem has no unique solution, Representation of weakly maxitive monetary risk measures and their rate functions, A classification of invariant distributions and convergence of imprecise Markov chains, Agency and Interaction What We Are and What We Do in Formal Epistemology, Ambiguity and the Bayesian Paradigm, Rationalizing two-tiered choice functions through conditional choice, Novel weighted averages versus normalized sums in computing with words, Probability and time, The sure thing principle, dilations, and objective probabilities, Probability, fuzziness and borderline cases, The Smith-Walley interpretation of subjective probability: an appreciation, The relationships between choquet integral, pan-integral, upper integral and lower integral, Weak nonmonotonic probabilistic logics, Distinguishing indeterminate belief from ``risk-averse preferences, Distribution of expected utility in decision trees, Aggregating disparate estimates of chance, Information Fusion and Revision in Qualitative and Quantitative Settings, Independence and 2-Monotonicity: Nice to Have, Hard to Keep, Evidential Markov Decision Processes, A unifying approach to integration for bounded positive charges, PRIOR RELIABILITY ASSESSMENTS BASED ON COHERENT IMPRECISE PROBABILITIES, FOUNDATIONS OF FUZZY SET THEORY AND FUZZY LOGIC: A HISTORICAL OVERVIEW, Discover dependency pattern among attributes by using a new type of nonlinear multiregression, Uncertain information: random variables in graded semilattices, Marginal extension in the theory of coherent lower previsions, Computing system reliability given interval-valued characteristics of the components, Exact bounds on finite populations of interval data, A novel technique of object ranking and classification under ignorance: an application to the corporate failure risk problem, An investigation of ideals in the set of fuzzy measures, Measures of divergence on credal sets, Transitive indistinguishability and approximate measurement with standard finite ratio-scale representations, Uncertainty estimation and prediction for interdisciplinary ocean dynamics, Jeffrey's conditioning rule in neighbourhood models, Nonparametric predictive subset selection for proportions, Harnessing the information contained in low-quality data sources, Statistical reasoning with set-valued information: ontic vs. epistemic views, Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks, Learning imprecise probability models: conceptual and practical challenges, Comments on ``Imprecise probability models for learning multinomial distributions from data. applications to learning credal networks, Realizing RCC8 networks using convex regions, Brittleness of Bayesian inference under finite information in a continuous world, Set Optimization—A Rather Short Introduction, Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification, The Goodman-Nguyen Relation in Uncertainty Measurement, The CONEstrip Algorithm, Conglomerable Coherent Lower Previsions, Connecting Interval-Valued Fuzzy Sets with Imprecise Probabilities, Bayesian Updating under Incomplete or Imprecise Information in Finite Spaces, On the vertices of the \(k\)-additive core, Ergodic Theorems for lower probabilities, Risk-informed decision-making in the presence of epistemic uncertainty, An algebraic treatment of imprecise probabilities, \(\pi\)-calculus with noisy channels, When fuzzy measures are upper envelopes of probability measures, Coherent lower previsions and Choquet integrals, Uncertainty measures on probability intervals from the imprecise Dirichlet model, POSSIBILITY THEORY I: THE MEASURE- AND INTEGRAL-THEORETIC GROUNDWORK, Dilatation monotonous Choquet integrals, An uncertainty interchange format with imprecise probabilities, Trade-off sensitive experimental design: a multicriterion, decision theoretic, Bayes linear ap\-proach, Application of uncertainty measures on credal sets on the naive Bayesian classifier, Concave integral with respect to imprecise probabilities, Imprecise Bernoulli Processes, Maximin and Maximal Solutions for Linear Programming Problems with Possibilistic Uncertainty, Lower Previsions Induced by Filter Maps, A New Method for Learning Imprecise Hidden Markov Models, Acting on belief functions, Incorporating ignorance within game theory: an imprecise probability approach, Nonlinear desirability theory, Envelopes of equivalent martingale measures and a generalized no-arbitrage principle in a finite setting, Centroids of the core of exact capacities: a comparative study, Ambiguous price formation, Outer Approximations of Coherent Lower Probabilities Using Belief Functions, Contrasting Two Laws of Large Numbers from Possibility Theory and Imprecise Probability, Robust Kalman and Bayesian Set-Valued Filtering and Model Validation for Linear Stochastic Systems, Should data ever be thrown away? Pooling interval-censored data sets with different precision, Coherent conditional previsions with respect to inner and outer Hausdorff measures to represent conscious and unconscious human brain activity, Desirability foundations of robust rational decision making, Subjective causal networks and indeterminate suppositional credences, On the imprecision of full conditional probabilities, Uncertainty, equality, fraternity, Nonparametric methods of statistical inference for double-censored data with applications, Capacities and Choquet averages of ultrafilters, The extension of Dempster's combination rule based on generalized credal sets, Addressing ambiguity in randomized reinsurance contracts using belief functions, Decision making under severe uncertainty on a budget, G-Gaussian processes under sublinear expectations and \(q \)-Brownian motion in quantum mechanics, Dynamic bid-ask pricing under Dempster-Shafer uncertainty, Random sets, copulas and related sets of probability measures, On a class of prior distributions that accounts for uncertainty in the data, Addressing ambiguity in randomized reinsurance stop-loss treaties using belief functions, Optimization problems with evidential linear objective, The key to the knowledge norm of action is ambiguity, A new look at conditional probability with belief functions, Imprecise probabilistic models based on hierarchical intervals, Distributional Uncertainty of the Financial Time Series Measured by $G$-Expectation, Distention for Sets of Probabilities, ON THE PROBABILITY/POSSIBILITY TRANSFORMATIONS:A COMPARATIVE ANALYSIS, Stress-strength reliability models under incomplete information, Maximally Distributed Random Fields under Sublinear Expectation, Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles, Extended possibilistic truth values, Modeling and Processing of Uncertainty in Civil Engineering by Means of Fuzzy Randomness, Estimation and Prediction Using Belief Functions: Application to Stochastic Frontier Analysis, Robust estimation of risks from small samples, Decision Making in the Environment of Heterogeneous Uncertainty, Approximations of One-dimensional Expected Utility Integral of Alternatives Described with Linearly-Interpolated p-Boxes, MINIMAX REGRET TREATMENT CHOICE WITH INCOMPLETE DATA AND MANY TREATMENTS, Fundamental Theorems of Asset Pricing for Good Deal Bounds, A new boosting-based software reliability growth model, Using genetic algorithms to determine nonnegative monotone set functions for information fusion in environments with random perturbation, Unnamed Item, Large classes of proper priors for linear models, Optimal Learning Under Robustness and Time-Consistency, PROBABILISTIC STABILITY, AGM REVISION OPERATORS AND MAXIMUM ENTROPY, The Extension of Imprecise Probabilities Based on Generalized Credal Sets, A Sandwich Theorem for Natural Extensions, Markov chains under nonlinear expectation, Maximum entropy derived and generalized under idempotent probability to address Bayes-frequentist uncertainty and model revision uncertainty: an information-theoretic semantics for possibility theory, Possibility-theoretic statistical inference offers performance and probativeness assurances, Making decisions with evidential probability and objective Bayesian calibration inductive logics, An interview with Luis Raúl Pericchi, Multi-target decision making under conditions of severe uncertainty, Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain, Dedekind-MacNeille completion of multivariate copulas via ALGEN method, Measures of conflict, basic axioms and their application to the clusterization of a body of evidence, An elementary belief function logic, Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks, On the selection of an optimal outer approximation of a coherent lower probability, Some multivariate imprecise shock model copulas, Multivariate imprecise Sklar type theorems, Interval Additive Generators of Interval T-Norms, Sets of Priors Reflecting Prior-Data Conflict and Agreement, PAN-INTEGRALS WITH RESPECT TO IMPRECISE PROBABILITIES, MATHEMATICS OF FINITE RESOLUTION, Cautious Conjunctive Merging of Belief Functions, Split Criterions for Variable Selection Using Decision Trees, Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures, An Enjoyable Research Journey on Uncertainty, Beyond p-Boxes and Interval-Valued Moments: Natural Next Approximations to General Imprecise Probabilities, MEASUREMENT OF POSSIBILISTIC HISTOGRAMS FROM INTERVAL DATA, BAYESIAN INFERENCE OF FUZZY PROBABILITIES, Requirements for total uncertainty measures in Dempster–Shafer theory of evidence, Computing interval-valued statistical characteristics: what is the stumbling block for reliability applications?, Constructing imprecise probability distributions, Generalized basic probability assignments, Imprecise probability for non-commuting observables, Nonparametric Predictive Multiple Comparisons of Lifetime Data, An interval-valued reliability model with bounded failure rates, The Current Position of Statistics: A Personal View, Non-parametric predictive inference for future order statistics, Introductory remarks: Mathematical models of uncertainty, An uncertainty model of structural reliability with imprecise parameters of probability distributions, Random sets of probability measures in slope hydrology and stability analysis, The core of games on ordered structures and graphs, Estimating information amount under uncertainty: algorithmic solvability and computational complexity, Coherent risk measures, STATISTICAL INFERENCES BASED ON A SECOND-ORDER POSSIBILITY DISTRIBUTION, Extension of the concept of propositional deduction from classical logic to probability: An overview of probability-selection approaches, Fuzzy rationality and parameter elicitation in decision analysis, Estimating probability values from an incomplete dataset, The role of coherence in eliciting and handling imprecise probabilities and its application to medical diagnosis, On the axiomatic treatment of the ϕ-mean, Imprecise predictive selection based on low structure assumptions, A behavioral model for linguistic uncertainty, Unnamed Item, Special issue: Soft computing in recognition and search, A methodology for computing with words, Combined analysis of unique and repetitive events in quantitative risk assessment, Simulation Hemi-metrics between Infinite-State Stochastic Games, Games of incomplete information: a framework based on belief functions, Robust Bayesian Credibility Using Semiparametric Models, Unnamed Item, Additivity of uncertainty measures on credal sets, Inference from Multinomial Data Based on a MLE-Dominance Criterion, Can the Minimum Rule of Possibility Theory Be Extended to Belief Functions?, On Indifference Zone Selection with a Preference Threshold, A Continuous Updating Rule for Imprecise Probabilities, Stable Non-standard Imprecise Probabilities, Decision Making with Hierarchical Credal Sets, A Propositional CONEstrip Algorithm, A Note on Learning Dependence under Severe Uncertainty, Choquet Expected Utility Representation of Preferences on Generalized Lotteries, IMPRECISE MARKOV CHAINS AND THEIR LIMIT BEHAVIOR, MULTIPLICATIVE PROPERTIES IN EVALUATION OF DECISION TREES, Fuzzy-Stochastic Partial Differential Equations, Rough Representations of Ill-Known Sets and Their Manipulations in Low Dimensional Space, Non-informative invariant priors yield peculiar marginals, Towards a Bayesian Theory of Second-Order Uncertainty: Lessons from Non-Standard Logics, Proof systems for probabilistic uncertain reasoning, Unnamed Item, Unnamed Item, Predictive Inference Under Exchangeability, and the Imprecise Dirichlet Multinomial Model, A Unified Framework for Bayesian and Non-Bayesian Decision Making and Inference, Comments on ``Learning from imprecise and fuzzy observations: data disambiguation through generalized loss minimization
