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1007.0179
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The semiparametric Bernstein-von Mises theorem
1 July 2010
Peter J. Bickel
B. Kleijn
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Papers citing
"The semiparametric Bernstein-von Mises theorem"
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Stability of Mean-Field Variational Inference
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Bohan Wu
Alberto González-Sanz
Marcel Nutz
238
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Asymptotic considerations in a Bayesian linear model with nonparametrically modelled time series innovations
Claudia Kirch
Alexander Meier
R. Meyer
Yifu Tang
177
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24 Sep 2024
A Bernstein-von Mises Theorem for Generalized Fiducial Distributions
J. E. Borgert
Jan Hannig
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391
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31 Jan 2024
A statistical perspective on algorithm unrolling models for inverse problems
Yves Atchadé
Xinru Liu
Qiuyun Zhu
192
1
0
10 Nov 2023
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
Partha Sarkar
Kshitij Khare
Malay Ghosh
Matt P. Wand
283
1
0
15 Sep 2023
Monte Carlo inference for semiparametric Bayesian regression
Journal of the American Statistical Association (JASA), 2023
Daniel R. Kowal
Bo-Hong Wu
292
6
0
08 Jun 2023
Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model
C. D. Walker
383
1
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06 Jun 2023
Mixed Laplace approximation for marginal posterior and Bayesian inference in error-in-operator model
V. Spokoiny
178
3
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16 May 2023
Skewed Bernstein-von Mises theorem and skew-modal approximations
Annals of Statistics (Ann. Stat.), 2023
Daniele Durante
Francesco Pozza
Botond Szabó
536
15
0
08 Jan 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yunzhe Zhou
Zhengling Qi
C. Shi
Lexin Li
OffRL
301
9
0
26 Oct 2022
Normal approximation for the posterior in exponential families
Adrian Fischer
Robert E. Gaunt
Gesine Reinert
Yvik Swan
397
6
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19 Sep 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Wenying Deng
Beau Coker
Rajarshi Mukherjee
J. Liu
B. Coull
243
4
0
15 Apr 2022
Bayesian Estimation and Comparison of Conditional Moment Models
S. Chib
Minchul Shin
Anna Simoni
126
7
0
26 Oct 2021
Unified Bayesian theory of sparse linear regression with nuisance parameters
Seonghyun Jeong
S. Ghosal
255
9
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24 Aug 2020
Posterior asymptotics in Wasserstein metrics on the real line
Electronic Journal of Statistics (EJS), 2020
Minwoo Chae
P. De Blasi
S. Walker
267
7
0
12 Mar 2020
Asymptotic normality, concentration, and coverage of generalized posteriors
Journal of machine learning research (JMLR), 2019
Jeffrey W. Miller
229
89
0
22 Jul 2019
On Semi-parametric Bernstein-von Mises Theorems for BART
Veronika Rockova
176
7
0
09 May 2019
Bayesian variance estimation in the Gaussian sequence model with partial information on the means
G. Finocchio
Johannes Schmidt-Hieber
224
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09 Apr 2019
Asymptotic Consistency of
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Prateek Jaiswal
Vinayak A. Rao
Harsha Honnappa
249
12
0
05 Feb 2019
Semiparametric Bayesian causal inference
Kolyan Ray
A. van der Vaart
CML
204
9
0
13 Aug 2018
Bayesian Projected Calibration of Computer Models
Fangzheng Xie
Yanxun Xu
280
38
0
03 Mar 2018
Finite sample Bernstein-von Mises theorems for functionals and spectral projectors of the covariance matrix
I. Silin
251
1
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10 Dec 2017
Bayesian inference for spectral projectors of the covariance matrix
I. Silin
V. Spokoiny
201
10
0
30 Nov 2017
Adaptive Bayesian nonparametric regression using kernel mixture of polynomials with application to partial linear model
Bayesian Analysis (BA), 2017
Fangzheng Xie
Yanxun Xu
352
11
0
22 Oct 2017
On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems
Yulong Lu
417
17
0
01 Jun 2017
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
627
227
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09 May 2017
A Tutorial on Fisher Information
A. Ly
M. Marsman
J. Verhagen
R. Grasman
E. Wagenmakers
426
305
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02 May 2017
Gaussian processes and Bayesian moment estimation
J. Florens
Anna Simoni
260
15
0
25 Jul 2016
Efficient semiparametric estimation and model selection for multidimensional mixtures
Elisabeth Gassiat
Judith Rousseau
E. Vernet
303
10
0
19 Jul 2016
The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors
Statistica sinica (SS), 2016
Minwoo Chae
Yongdai Kim
B. Kleijn
290
10
0
15 Jul 2016
Frequentist properties of Bayesian inequality tests
Journal of Econometrics (J. Econom.), 2016
David M. Kaplan
Longhao Zhuo
309
2
0
01 Jul 2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
Peter Grünwald
Nishant A. Mehta
729
82
0
01 May 2016
The semiparametric Bernstein-von Mises theorem for models with symmetric error
Minwoo Chae
252
2
0
18 Oct 2015
Semiparametric Bernstein-von Mises Theorem: Second Order Studies
Yun Yang
Guang Cheng
David B. Dunson
144
14
0
16 Mar 2015
Posterior contraction in Gaussian process regression using Wasserstein approximations
A. Bhattacharya
D. Pati
325
0
0
09 Feb 2015
On Bayesian based adaptive confidence sets for linear functionals
Botond Szabó
304
5
0
01 Dec 2014
Gaussian Approximation of General Nonparametric Posterior Distributions
Zuofeng Shang
Guang Cheng
516
4
0
13 Nov 2014
Adaptive Bernstein-von Mises theorems in Gaussian white noise
Kolyan Ray
460
58
0
12 Jul 2014
Finite Sample Bernstein -- von Mises Theorem for Semiparametric Problems
Maxim Panov
V. Spokoiny
298
45
0
29 Oct 2013
Criteria for posterior consistency
B. J. K. Kleijn
Y. Y. Zhao
437
10
0
06 Aug 2013
Semiparametric posterior limits
B. J. K. Kleijn
624
1
0
21 May 2013
A Bernstein-von Mises theorem for smooth functionals in semiparametric models
I. Castillo
Judith Rousseau
478
122
0
20 May 2013
Bernstein - von Mises Theorem for growing parameter dimension
V. Spokoiny
513
47
0
14 Feb 2013
Semi-parametric Bayesian Partially Identified Models based on Support Function
Yuan Liao
Anna Simoni
361
10
0
13 Dec 2012
Semiparametric posterior limits under local asymptotic exponentiality
B. Kleijn
B. Knapik
525
17
0
23 Oct 2012
Nonparametric Bernstein-von Mises theorems in Gaussian white noise
I. Castillo
Richard Nickl
630
152
0
19 Aug 2012
Bayes and empirical Bayes: do they merge?
Sonia Petrone
Judith Rousseau
Catia Scricciolo
FedML
244
77
0
06 Apr 2012
The Bayesian Analysis of Complex, High-Dimensional Models: Can It Be CODA?
Yaácov Ritov
Peter J. Bickel
A. Gamst
B. Kleijn
453
29
0
25 Mar 2012
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