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Bernstein Von Mises Theorem for linear functionals of the density

Bernstein Von Mises Theorem for linear functionals of the density

28 August 2009
Vincent Rivoirard
Judith Rousseau
ArXivPDFHTML

Papers citing "Bernstein Von Mises Theorem for linear functionals of the density"

19 / 19 papers shown
Title
Optimal plug-in Gaussian processes for modelling derivatives
Optimal plug-in Gaussian processes for modelling derivatives
Zejian Liu
Meng Li
23
6
0
20 Oct 2022
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
Uncertainty Quantification for Sparse Deep Learning
Uncertainty Quantification for Sparse Deep Learning
Yuexi Wang
Veronika Rockova
BDL
UQCV
36
31
0
26 Feb 2020
Nonparametric statistical inference for drift vector fields of
  multi-dimensional diffusions
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions
Richard Nickl
Kolyan Ray
25
51
0
03 Oct 2018
Nonparametric Bayesian analysis of the compound Poisson prior for
  support boundary recovery
Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery
M. Reiß
Johannes Schmidt-Hieber
32
7
0
11 Sep 2018
On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear
  Bayesian Inverse Problems
On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems
Yulong Lu
29
16
0
01 Jun 2017
Frequentist Consistency of Variational Bayes
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
28
204
0
09 May 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
26
22
0
16 Sep 2016
Gaussian processes and Bayesian moment estimation
Gaussian processes and Bayesian moment estimation
J. Florens
Anna Simoni
32
14
0
25 Jul 2016
Efficient semiparametric estimation and model selection for
  multidimensional mixtures
Efficient semiparametric estimation and model selection for multidimensional mixtures
Elisabeth Gassiat
Judith Rousseau
E. Vernet
39
10
0
19 Jul 2016
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
Overall Objective Priors
Overall Objective Priors
J. Berger
J. Bernardo
Dongchu Sun
27
118
0
10 Apr 2015
Gaussian Approximation of General Nonparametric Posterior Distributions
Gaussian Approximation of General Nonparametric Posterior Distributions
Zuofeng Shang
Guang Cheng
36
4
0
13 Nov 2014
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
I. Castillo
Richard Nickl
35
130
0
09 Oct 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
47
116
0
20 May 2013
On Bayesian supremum norm contraction rates
On Bayesian supremum norm contraction rates
I. Castillo
76
75
0
05 Apr 2013
Bernstein von Mises Theorems for Gaussian Regression with increasing
  number of regressors
Bernstein von Mises Theorems for Gaussian Regression with increasing number of regressors
D. Bontemps
81
74
0
07 Sep 2010
A Bernstein-Von Mises Theorem for discrete probability distributions
A Bernstein-Von Mises Theorem for discrete probability distributions
S. Boucheron
Elisabeth Gassiat
115
49
0
14 Jul 2008
Convergence rates for Bayesian density estimation of
  infinite-dimensional exponential families
Convergence rates for Bayesian density estimation of infinite-dimensional exponential families
Catia Scricciolo
125
48
0
01 Aug 2007
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