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Accuracy of Gaussian approximation in nonparametric Bernstein -- von
  Mises Theorem
v1v2v3v4v5 (latest)

Accuracy of Gaussian approximation in nonparametric Bernstein -- von Mises Theorem

14 October 2019
V. Spokoiny
Maxim Panov
ArXiv (abs)PDFHTML

Papers citing "Accuracy of Gaussian approximation in nonparametric Bernstein -- von Mises Theorem"

5 / 5 papers shown
Title
Normal approximation for the posterior in exponential families
Normal approximation for the posterior in exponential families
Adrian Fischer
Robert E. Gaunt
Gesine Reinert
Yvik Swan
99
5
0
19 Sep 2022
Bernstein - von Mises theorem and misspecified models: a review
Bernstein - von Mises theorem and misspecified models: a review
N. Bochkina
82
9
0
28 Apr 2022
Uncertainty quantification for distributed regression
Uncertainty quantification for distributed regression
V. Avanesov
UQCV
28
0
0
24 May 2021
Bayesian inference for nonlinear inverse problems
Bayesian inference for nonlinear inverse problems
V. Spokoiny
61
6
0
29 Dec 2019
Data-driven confidence bands for distributed nonparametric regression
Data-driven confidence bands for distributed nonparametric regression
V. Avanesov
10
0
0
13 Dec 2019
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