scientific article; zbMATH DE number 1432028
From MaRDI portal
zbMath0943.62009MaRDI QIDQ4948699
José Miguel Bernardo, Adrian F. M. Smith
Publication date: 16 April 2000
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
utilityuncertaintypredictive inferenceBayes' theoremlikelihood theoryupdating of beliefsfiducial theorychoosing actionsfrequentist proceduresmodel beliefsrepresenting beliefs
Bayesian problems; characterization of Bayes procedures (62C10) Foundations and philosophical topics in statistics (62A01) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Empirical decision procedures; empirical Bayes procedures (62C12)
Related Items
On maximum a posteriori estimation with Plug \& Play priors and stochastic gradient descent, Confidence and discoveries with \(e\)-values, Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests, Probabilistic parameter estimation in a 2-step chemical kinetics model for n-dodecane jet autoignition, Objective Bayesian analysis for the differential entropy of the Weibull distribution, Two-sample Bayesian nonparametric hypothesis testing, How the Maximal Evidence of P-Values Against Point Null Hypotheses Depends on Sample Size, Rates of information aggregation in common value auctions, A flexible prior distribution for Markov switching autoregressions with Student-\(t\) errors, Model Selection via the VC-Dimension, Learning along a channel: the expectation part of expectation-maximisation, Bayesian nonparametric dynamic hazard rates in evolutionary life tables, Fault Resilient Domain Decomposition Preconditioner for PDEs, Power-expected-posterior priors for generalized linear models, Bayesian nonparametric system reliability using sets of priors, Bayesian portfolio selection using VaR and CVaR, Bayesian modelling of hunting data may improve the understanding of host-parasite systems: wild boar diseases and vaccination as an example, Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints, Bayesian Kernel Two-Sample Testing, Sensitivity analysis: a review of recent advances, Elementary modelling and behavioural analysis for emergency evacuations using social media, Bayesian Updating in the Determination of Forces in Euler-Bernoulli Beams, Bayesian nonparametric learning of how skill is distributed across the mutual fund industry, Approximating the operating characteristics of Bayesian uncertainty directed trial designs, A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design, VARIABLE SELECTION FOR BAYESIAN SURVIVAL MODELS USING BREGMAN DIVERGENCE MEASURE, Well-calibrated predictions from on-line compression models, Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design, Using the Bayesian Shtarkov solution for predictions, Fiducial distribution in a power series family, Algebraic aspects of Bayesian modeling in psychology, A decision-theoretic approach for segmental classification, Modelling multi-output stochastic frontiers using copulas, Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie, Balancing producer and consumer risks in optimal attribute testing: a unified Bayesian/frequentist design, Bayesian mean–variance analysis: optimal portfolio selection under parameter uncertainty, Graphical posterior predictive classification: Bayesian model averaging with particle Gibbs, Economic variable selection, History and nature of the Jeffreys-Lindley paradox, Confidence bands for least squares support vector machine classifiers: a regression approach, A Statistical Basis for Reporting Strength of Evidence as Pool Reduction, Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool, A reconstruction of Ewens' sampling formula via lists of coins, Bayesian restricted likelihood methods: conditioning on insufficient statistics in Bayesian regression (with discussion), Probabilism, entropies and strictly proper scoring rules, Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students, Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures, Saddlepoint condition on a predictor to reconfirm the need for the assumption of a prior distribution, How cognitive modeling can benefit from hierarchical Bayesian models, Identification and forecasting in mortality models, Test martingales, Bayes factors and \(p\)-values, Unnamed Item, Prediction in several conventional contexts, Cultural consensus theory: comparing different concepts of cultural truth, Using MCMC chain outputs to efficiently estimate Bayes factors, Unnamed Item, Bayesian model comparison for compartmental models with applications in positron emission tomography, Causal modeling alternatives in operations research: overview and application., Failure probability estimation under additional subsystem information with application to semiconductor burn-in, A computational inverse method for identification of non-Gaussian random fields using the Bayesian approach in very high dimension, Desirable properties of Bayesian models in perceptual psychology. A discussion of distribution families closed under multiplication, Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments, Well-Posed Bayesian Inverse Problems with Infinitely Divisible and Heavy-Tailed Prior Measures, Non-stationary multi-layered Gaussian priors for Bayesian inversion, Bayesian reference analysis for exponential power regression models, Unnamed Item, Objective Bayesian inference for a generalized marginal random effects model, Improving the efficiency of fully Bayesian optimal design of experiments using randomised quasi-Monte Carlo, Robust likelihood functions in Bayesian inference, Identification of Bayesian posteriors for coefficients of chaos expansions, On the validity of the batch quantile method for Markov chains, Statistical Methods in Imaging, Probabilistic sensitivity measures as information value, Modeling and identification of uncertain-input systems, Modeling individual differences using Dirichlet processes, Unnamed Item, Mathematical modeling in biological populations through branching processes. application to salmonid populations, Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach, Bayesian estimation of Dirichlet mixture model with variational inference, Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency, Bayesian estimation of an extended local scale stochastic volatility model, Bayesian inference of the multi-period optimal portfolio for an exponential utility, Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements, A channel-based perspective on conjugate priors, A Bayesian finite element model updating with combined normal and lognormal probability distributions using modal measurements, Decision Making with Hierarchical Credal Sets, Unnamed Item, On the interpretation of ensemble classifiers in terms of Bayes classifiers, Analysis of partially incomplete tables of breast cancer characteristics with an ordinal variable, Disintegration and Bayesian inversion via string diagrams, Conjugate predictive distributions and generalized entropies, On quantum vs. classical probability, Decreasing Marginal Value of Information Under Symmetric Loss, A tutorial on Dirichlet process mixture modeling, Mixtures ofg-Priors in Generalized Linear Models, Unnamed Item, Stick breaking, in coalgebra and probability, Objective Bayesian estimation for the differential entropy measure under generalized half-normal distribution, Bayesian analysis of mixture of autoregressive components with an application to financial market volatility, Approximated sensitivity analysis in posterior predictive distribution, Sequential change detection in the presence of unknown parameters