scientific article; zbMATH DE number 2168212
From MaRDI portal
Publication:4677780
zbMath1105.68052MaRDI QIDQ4677780
Alexander Gammerman, Vladimir Vovk, Glenn R. Shafer
Publication date: 13 May 2005
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Inference from stochastic processes and prediction (62M20) Learning and adaptive systems in artificial intelligence (68T05) Algorithmic information theory (Kolmogorov complexity, etc.) (68Q30) Research exposition (monographs, survey articles) pertaining to computer science (68-02)
Related Items
Conformal Prediction Credibility Intervals, Incorporating relative error criterion to conformal prediction for positive data, Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes, Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests, The Augmented Synthetic Control Method, An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls, Conformal Prediction: A Gentle Introduction, Likelihood-based imprecise regression, Seven principles for rapid-response data science: lessons learned from COVID-19 forecasting, Guest editorial: Learning theory, Extreme state aggregation beyond Markov decision processes, Unnamed Item, Imprecise probability trees: bridging two theories of imprecise probability, Cooperative Feature Selection in Personalized Medicine, Conditional validity of inductive conformal predictors, Criteria of efficiency for set-valued classification, Reliable region predictions for automated valuation models, Accelerating difficulty estimation for conformal regression forests, Conditional predictive inference for stable algorithms, Testing for outliers with conformal p-values, Epicasting: an ensemble wavelet neural network for forecasting epidemics, Gaussian copula function-on-scalar regression in reproducing kernel Hilbert space, Selective Prediction-Set Models with Coverage Rate Guarantees, Root-finding approaches for computing conformal prediction set, Conformal Predictive Distributions with Kernels, Variance function estimation in regression model via aggregation procedures, Permutation tests using arbitrary permutation distributions, Conformal prediction beyond exchangeability, Unnamed Item, Comment: Statistical inference from a predictive perspective, Random Forest Prediction Intervals, Functional summaries of persistence diagrams, Distribution-Free Prediction Sets for Two-Layer Hierarchical Models, Three-way decision and conformal prediction: isomorphisms, differences and theoretical properties of cautious learning approaches, Nested conformal prediction sets for classification with applications to probation data, Adaptive novelty detection with false discovery rate guarantee, Conformal Sensitivity Analysis for Individual Treatment Effects, Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-Valued Model Output, Confidence and discoveries with \(e\)-values, Aspects in classification learning -- review of recent developments in learning vector quantization, Training-conditional coverage for distribution-free predictive inference, Safe probability, What is a Randomization Test?, Test martingales, Bayes factors and \(p\)-values, Is distribution-free inference possible for binary regression?, Frasian inference, Classification with guaranteed probability of error, Discussion of Professor Bradley Efron’s Article on “Prediction, Estimation, and Attribution”, Real-time model learning using incremental sparse spectrum Gaussian process regression, Capital Process and Optimality Properties of a Bayesian Skeptic in Coin-Tossing Games, Distribution-free conditional median inference, Nonparametric predictive distributions based on conformal prediction, Majority vote ensembles of conformal predictors, Combination of inductive Mondrian conformal predictors, Automatic face recognition with well-calibrated confidence measures, Efficient Venn predictors using random forests, Minimax semi-supervised set-valued approach to multi-class classification, Unnamed Item, Distribution-Free Prediction Sets, Predictive inference with the jackknife+, Multi Split Conformal Prediction, Distribution-Free Predictive Inference For Regression, \(Log_A\mathbf{G}\): an algebraic non-monotonic logic for reasoning with graded propositions, Regression conformal prediction with random forests, Efficient set-valued prediction in multi-class classification, Comment on: ``Settle the unsettling: an inferential models perspective, On a simple strategy weakly forcing the strong law of large numbers in the bounded forecasting game, Chervonenkis’s Recollections, Comment: The Two Styles of VC Bounds, Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods, A method for improving the accuracy of data mining classification algorithms, Consistency of plug-in confidence sets for classification in semi-supervised learning, On-line predictive linear regression, Least Ambiguous Set-Valued Classifiers With Bounded Error Levels, Editorial. Probability and statistics: foundations and history. Special issue in honor of Glenn Shafer, Glenn Shafer -- a short biography, Validity, consonant plausibility measures, and Conformal prediction, Homeostasis phenomenon in conformal prediction and predictive distribution functions, Confidence sets with expected sizes for Multiclass Classification, Distribution-free uncertainty quantification for kernel methods by gradient perturbations, Testing randomness online, Cautious classification based on belief functions theory and imprecise relabelling, Clustering on the torus by conformal prediction, Conformal prediction bands for multivariate functional data, Discussion of Kallus and Mo, Qi, and Liu: New Objectives for Policy Learning, A minimax framework for quantifying risk-fairness trade-off in regression, Valid inferential models for prediction in supervised learning problems, Methods to compute prediction intervals: a review and new results, Unnamed Item, On soft computing with random fuzzy sets in econometrics and machine learning, Conformal prediction: a unified review of theory and new challenges, Discussion of Professor Bradley Efron’s Article on “Prediction, Estimation, and Attribution”, Guest editors' preface to the special issue on conformal prediction and its applications, Cross-conformal predictors, A conformal prediction approach to explore functional data, Conformal predictions for information fusion. A comparative study of p-value combination methods, Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories, Sparse conformal prediction for dissimilarity data, The application of conformal prediction to the drug discovery process, Inductive Venn prediction, Simulations of nuclear fusion diagnostics based on projections with Venn predictors and context drift detection, Valid Model-Free Prediction of Future Insurance Claims
