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Posterior concentration rates for empirical Bayes procedures, with
  applications to Dirichlet Process mixtures

Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures

17 June 2014
S. Donnet
Vincent Rivoirard
Judith Rousseau
Catia Scricciolo
ArXivPDFHTML

Papers citing "Posterior concentration rates for empirical Bayes procedures, with applications to Dirichlet Process mixtures"

5 / 5 papers shown
Title
Wasserstein convergence in Bayesian deconvolution models
Wasserstein convergence in Bayesian deconvolution models
Judith Rousseau
Catia Scricciolo
18
2
0
12 Nov 2021
Gaussian Processes with Errors in Variables: Theory and Computation
Gaussian Processes with Errors in Variables: Theory and Computation
Shuang Zhou
D. Pati
Tianying Wang
Yun Yang
R. Carroll
27
3
0
14 Oct 2019
Nonparametric Bayesian volatility estimation
Nonparametric Bayesian volatility estimation
S. Gugushvili
Frank van der Meulen
Moritz Schauer
Peter Spreij
16
6
0
30 Jan 2018
Asymptotic behaviour of the empirical Bayes posteriors associated to
  maximum marginal likelihood estimator
Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
Judith Rousseau
Botond Szabó
34
56
0
19 Apr 2015
A general approach to posterior contraction in nonparametric inverse
  problems
A general approach to posterior contraction in nonparametric inverse problems
B. Knapik
J. Salomond
MedIm
31
32
0
01 Jul 2014
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