Comparing and Weighting Imperfect Models Using D-Probabilities
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Publication:5120673
DOI10.1080/01621459.2019.1611140zbMath1441.62078arXiv1611.01241OpenAlexW3100675317WikidataQ127971741 ScholiaQ127971741MaRDI QIDQ5120673
Publication date: 15 September 2020
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1611.01241
model selectionGaussian processKullback-Leibler divergence\(m\)-openGibbs posteriormodel aggregation
Asymptotic properties of parametric estimators (62F12) Linear regression; mixed models (62J05) Bayesian inference (62F15)
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- Supremum norm posterior contraction and credible sets for nonparametric multivariate regression
- On Bayesian supremum norm contraction rates
- Adaptive Bayesian estimation using a Gaussian random field with inverse gamma bandwidth
- Rates of contraction of posterior distributions based on Gaussian process priors
- A class of Rényi information estimators for multidimensional densities
- Objective parametric model selection procedures from a Bayesian nonparametric perspective
- Risk bounds for model selection via penalization
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Asymptotic behavior of Bayes estimates under possibly incorrect models
- Random rates in anisotropic regression. (With discussion)
- The Bernstein-von Mises theorem under misspecification
- On estimating a density using Hellinger distance and some other strange facts
- Estimation and variable selection with exponential weights
- Anisotropic function estimation using multi-bandwidth Gaussian processes
- Estimation of Kullback-Leibler divergence by local likelihood
- A Bayesian analysis of some nonparametric problems
- A remark on the convergence of Kullback-Leibler's mean information
- Statistical Decision Problems and Bayesian Nonparametric Methods
- Adaptive Bayesian Procedures Using Random Series Priors
- Model Selection and Model Averaging
- Mixtures of g Priors for Bayesian Variable Selection
- Estimating Optimal Transformations for Multiple Regression and Correlation
- A Predictive Approach to Model Selection
- Estimation of KL Divergence: Optimal Minimax Rate
- A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion
- Super Learner
- Exponential entropy as a measure of extent of a distribution
- On Bayes procedures
- Fundamentals of Nonparametric Bayesian Inference
- On Priors With a Kullback–Leibler Property
- Objective Bayesian Variable Selection
- Nonparametric estimation of Kullback-Leibler information illustrated by evaluating goodness of fit
- Sparse estimation by exponential weighting
- A new look at the statistical model identification