ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1305.5270
  4. Cited By
On adaptive posterior concentration rates

On adaptive posterior concentration rates

22 May 2013
M. Hoffmann
Judith Rousseau
Johannes Schmidt-Hieber
ArXivPDFHTML

Papers citing "On adaptive posterior concentration rates"

13 / 13 papers shown
Title
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion
Veronika Rockova
22
0
0
05 Sep 2023
Wasserstein convergence in Bayesian deconvolution models
Wasserstein convergence in Bayesian deconvolution models
Judith Rousseau
Catia Scricciolo
30
2
0
12 Nov 2021
Optimal Bayesian estimation of Gaussian mixtures with growing number of
  components
Optimal Bayesian estimation of Gaussian mixtures with growing number of components
Ilsang Ohn
Lizhen Lin
48
17
0
17 Jul 2020
Posterior asymptotics in Wasserstein metrics on the real line
Posterior asymptotics in Wasserstein metrics on the real line
Minwoo Chae
P. De Blasi
S. Walker
25
6
0
12 Mar 2020
Frequentist coverage and sup-norm convergence rate in Gaussian process
  regression
Frequentist coverage and sup-norm convergence rate in Gaussian process regression
Yun Yang
A. Bhattacharya
D. Pati
17
53
0
16 Aug 2017
Posterior contraction rates for support boundary recovery
Posterior contraction rates for support boundary recovery
M. Reiß
Johannes Schmidt-Hieber
21
4
0
24 Mar 2017
Asymptotic frequentist coverage properties of Bayesian credible sets for
  sieve priors
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
Judith Rousseau
Botond Szabó
33
22
0
16 Sep 2016
A General Decision Theory for Huber's $ε$-Contamination Model
A General Decision Theory for Huber's εεε-Contamination Model
Mengjie Chen
Chao Gao
Zhao Ren
19
26
0
13 Nov 2015
Posterior consistency and convergence rates for Bayesian inversion with
  hypoelliptic operators
Posterior consistency and convergence rates for Bayesian inversion with hypoelliptic operators
Hanne Kekkonen
Matti Lassas
S. Siltanen
21
22
0
07 Jul 2015
A General Framework for Bayes Structured Linear Models
A General Framework for Bayes Structured Linear Models
Chao Gao
A. van der Vaart
Harrison H. Zhou
57
57
0
06 Jun 2015
Supremum Norm Posterior Contraction and Credible Sets for Nonparametric
  Multivariate Regression
Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression
W. Yoo
S. Ghosal
30
86
0
25 Nov 2014
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
36
32
0
01 Jul 2014
On Bayesian supremum norm contraction rates
On Bayesian supremum norm contraction rates
I. Castillo
86
75
0
05 Apr 2013
1