Frequentistic approximations to Bayesian prevision of exchangeable random elements
From MaRDI portal
Publication:324676
DOI10.1016/j.ijar.2016.06.007zbMathNonearXiv1602.01269OpenAlexW2964108671MaRDI QIDQ324676
Emanuele Dolera, Donato Michele Cifarelli, Eugenio Regazzini
Publication date: 17 October 2016
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1602.01269
exchangeabilityrandom measuresasymptotics of prior and posterior distributionsinverse probabilitiesprobability distances
Related Items (6)
Asymptotic predictive inference with exchangeable data ⋮ Note on ``Frequentistic approximations to Bayesian prevision of exchangeable random elements ⋮ Asymptotics of Predictive Distributions ⋮ Lipschitz continuity of probability kernels in the optimal transport framework ⋮ Approximation of Bayesian models for time-to-event data ⋮ Uniform rates of the Glivenko-Cantelli convergence and their use in approximating Bayesian inferences
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Rate of convergence of predictive distributions for dependent data
- Quantitative comparisons between finitary posterior distributions and Bayesian posterior distributions
- On a class of Bayesian nonparametric estimates: I. Density estimates
- École d'été de probabilités de Saint-Flour XIII - 1983
- On the consistency of Bayes estimates
- Robbins, empirical Bayes and microarrays
- On the Bernstein-von Mises theorem with infinite-dimensional parameters
- On the uniform consistency of Bayes estimates for multinomial probabilities
- Convergence rates of posterior distributions.
- Bayesian nonparametrics
- Weak convergence and empirical processes. With applications to statistics
- The consistency of posterior distributions in nonparametric problems
- Nuovi tipi di distanze fra insiemi di punti e loro applicazioni alla statistica
- Approximation of Laws of Random Probabilities by Mixtures of Dirichlet Distributions with Applications to Nonparametric Bayesian Inference
- The Methods of Distances in the Theory of Probability and Statistics
- Merging of Opinions with Increasing Information
- Optimal Matching and Empirical Measures
- Real Analysis and Probability
- An Introduction to the Theory of Point Processes
- The Empirical Bayes Approach to Statistical Decision Problems
- On Bayes procedures
- The Speed of Mean Glivenko-Cantelli Convergence
This page was built for publication: Frequentistic approximations to Bayesian prevision of exchangeable random elements