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Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Are Bayes Rules Consistent in Information?
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Suboptimal Behavior of Bayes and MDL in Classification Under Misspecification
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Suboptimal behavior of Bayes and MDL in classification under misspecification
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Forecasting electricity consumption by aggregating specialized experts
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Robustness in the Strategy of Scientific Model Building
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AGGREGATING STRATEGIES
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openair — An R package for air quality data analysis
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Bayesian ROC curve estimation under binormality using a rank likelihood
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Bayesian sandwich posteriors for pseudo-true parameters
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Gibbs posterior inference on the minimum clinically important difference
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Prediction, Learning, and Games
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PAC-Bayesian Stochastic Model Selection
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The Well-Calibrated Bayesian
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Bayesian Model Averaging for Linear Regression Models
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Approximate Bayesian inference for quantiles
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Regression and Time Series Model Selection in Small Samples
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Fair-Balance Paradox, Star-tree Paradox, and Bayesian Phylogenetics
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Information-theoretic Characterization of Bayes Performance and the Choice of Priors in Parametric and Nonparametric Problems
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The context-tree weighting method: basic properties
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The minimum description length principle in coding and modeling
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Minimum complexity density estimation
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Universal coding, information, prediction, and estimation
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Information-theoretic upper and lower bounds for statistical estimation
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A Very Simple Safe-Bayesian Random Forest
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Interpreting Statistical Evidence by using Imperfect Models: Robust Adjusted Likelihood Functions
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Fractional Bayes Factors for Model Comparison
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A General Framework for Updating Belief Distributions
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Viewing all models as “probabilistic”
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10.1162/153244303765208377
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Mixtures of g Priors for Bayesian Variable Selection
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Misspecification in infinite-dimensional Bayesian statistics
inferredcites →https://doi.org/10.1214/009053606000000704openalex-snapshot
From ɛ-entropy to KL-entropy: Analysis of minimum information complexity density estimation
inferredcites →https://doi.org/10.1214/07-aos547openalex-snapshot
Gibbs posterior for variable selection in high-dimensional classification and data mining
inferredcites →https://doi.org/10.1214/088342304000000125openalex-snapshot
Probability, Causality and the Empirical World: A Bayes–de Finetti–Popper– Borel Synthesis
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Parametric estimation. Finite sample theory
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Posterior Consistency of Bayesian Quantile Regression Based on the Misspecified Asymmetric Laplace Density
inferredcites →https://doi.org/10.1214/15-ba941openalex-snapshot
On Posterior Concentration in Misspecified Models
inferredcites →https://doi.org/10.1214/17-ba1085openalex-snapshot
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It
inferredcites →https://doi.org/10.1214/aoms/1177699597openalex-snapshot
Limiting Behavior of Posterior Distributions when the Model is Incorrect
inferredcites →https://doi.org/10.1214/aos/1015957472openalex-snapshot
The consistency of the BIC Markov order estimator
inferredcites →https://doi.org/10.1214/aos/1016120365openalex-snapshot
Mixing strategies for density estimation
inferredcites →https://doi.org/10.1214/aos/1016218228openalex-snapshot
Convergence rates of posterior distributions
inferredcites →https://doi.org/10.1214/aos/1017939142openalex-snapshot
Information-theoretic determination of minimax rates of convergence
inferredcites →https://doi.org/10.1214/aos/1018031206openalex-snapshot
The consistency of posterior distributions in nonparametric problems
inferredcites →https://doi.org/10.1214/aos/1176349830openalex-snapshot
On the Consistency of Bayes Estimates
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Posterior Probabilities of Alternative Linear Models.
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Good Thinking: The Foundations of Probability and Its Applications.
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Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
inferredcites →https://doi.org/10.2307/3315929openalex-snapshot
Improvement over bayes prediction in small samples in the presence of model uncertainty
inferredcites →https://doi.org/10.3150/15-bej797openalex-snapshot
Empirical Bayes posterior concentration in sparse high-dimensional linear models
inferredcites →https://doi.org/10.4310/cms.2016.v14.n1.a5openalex-snapshot
Brittleness of Bayesian inference and new Selberg formulas
inferredcites →https://doi.org/10.48550/arxiv.1301.0534openalex-snapshot
Follow the Leader If You Can, Hedge If You Must
inferredcites →https://doi.org/10.48550/arxiv.1507.02592openalex-snapshot
Fast rates in statistical and online learning
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Assigning a value to a power likelihood in a general Bayesian model
inferredcites →https://doi.org/10.5705/ss.2010.239openalex-snapshot
Bayesian asymptotics with misspecified models
inferredcites →https://doi.org/10.7551/mitpress/4643.001.0001openalex-snapshot
The Minimum Description Length Principle
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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What should economic agents learn in misspecified environments?
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Rational beliefs when the truth is not an option
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Effectiveness of Bayesian filters: An information fusion perspective
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Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors
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A Tutorial on Fisher information
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Bayesian sparse linear regression with unknown symmetric error
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Bayesian Inference for Misspecified Generative Models
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Contextuality of Misspecification and Data-Dependent Losses
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Approximate Models and Robust Decisions
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Rejoinder: Approximate Models and Robust Decisions
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On the Performance of Bayesian Generalized Dissimilarity Model Estimator
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Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning
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Interplay between Bayesian Neural Networks and Deep Learning: A Survey
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Empirical Bayes posterior concentration in sparse high-dimensional linear models
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Generalized Bayes Prediction Study Based on Joint Type-II Censoring
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Principles of Bayesian Inference Using General Divergence Criteria
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From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis
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Safe Bayesian Expectile Regression with Reciprocal LASSO for Sustainable Environmental Risk Modeling
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Assigning a value to a power likelihood in a general Bayesian model
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Prediction Penalized Analysis of Stroke Based on New Bayesian Hierarchical Priors Model
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Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model
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