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. 1204.2392
  4. Cited By
Bayesian optimal adaptive estimation using a sieve prior
v1v2 (latest)

Bayesian optimal adaptive estimation using a sieve prior

11 April 2012
Julyan Arbel
G. Gayraud
Judith Rousseau
ArXiv (abs)PDFHTML

Papers citing "Bayesian optimal adaptive estimation using a sieve prior"

16 / 16 papers shown
Title
Posterior Contraction Rates for Matérn Gaussian Processes on
  Riemannian Manifolds
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
Paul Rosa
Viacheslav Borovitskiy
Alexander Terenin
Judith Rousseau
96
8
0
19 Sep 2023
Posterior concentration and fast convergence rates for generalized
  Bayesian learning
Posterior concentration and fast convergence rates for generalized Bayesian learning
L. Ho
Binh T. Nguyen
Vu C. Dinh
D. M. Nguyen
58
5
0
19 Nov 2021
Designing truncated priors for direct and inverse Bayesian problems
Designing truncated priors for direct and inverse Bayesian problems
S. Agapiou
Peter Mathé
33
5
0
21 May 2021
Hypotheses testing and posterior concentration rates for semi-Markov
  processes
Hypotheses testing and posterior concentration rates for semi-Markov processes
V. Barbu
G. Gayraud
N. Limnios
I. Votsi
15
4
0
13 Jun 2019
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
91
22
0
16 Sep 2016
Full adaptation to smoothness using randomly truncated series priors
  with Gaussian coefficients and inverse gamma scaling
Full adaptation to smoothness using randomly truncated series priors with Gaussian coefficients and inverse gamma scaling
J. van Waaij
Harry Van Zanten
51
3
0
06 Sep 2016
Non Parametric Hidden Markov Models with Finite State Space: Posterior
  Concentration Rates
Non Parametric Hidden Markov Models with Finite State Space: Posterior Concentration Rates
E. Vernet
365
9
0
27 Nov 2015
Bayesian Detection of Image Boundaries
Bayesian Detection of Image Boundaries
M. Li
S. Ghosal
319
18
0
24 Aug 2015
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
94
56
0
19 Apr 2015
Adaptive Bayesian estimation in indirect Gaussian sequence space models
Adaptive Bayesian estimation in indirect Gaussian sequence space models
Jan Johannes
Anna Simoni
R. Schenk
62
4
0
01 Feb 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
92
32
0
01 Jul 2014
Adaptive Bayesian procedures using random series priors
Adaptive Bayesian procedures using random series priors
Weining Shen
S. Ghosal
AI4TS
126
83
0
03 Mar 2014
On adaptive posterior concentration rates
On adaptive posterior concentration rates
M. Hoffmann
Judith Rousseau
Johannes Schmidt-Hieber
190
85
0
22 May 2013
A Bernstein-von Mises theorem for smooth functionals in semiparametric
  models
A Bernstein-von Mises theorem for smooth functionals in semiparametric models
I. Castillo
Judith Rousseau
167
117
0
20 May 2013
Bayesian inverse problems with non-conjugate priors
Bayesian inverse problems with non-conjugate priors
Kolyan Ray
143
85
0
27 Sep 2012
Bayes procedures for adaptive inference in inverse problems for the
  white noise model
Bayes procedures for adaptive inference in inverse problems for the white noise model
B. Knapik
Botond Szabó
A. van der Vaart
J. H. Zanten
89
81
0
17 Sep 2012
1