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Bernstein - von Mises theorem and misspecified models: a review

Bernstein - von Mises theorem and misspecified models: a review

28 April 2022
N. Bochkina
ArXivPDFHTML

Papers citing "Bernstein - von Mises theorem and misspecified models: a review"

7 / 7 papers shown
Title
Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods
Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods
Conor Rosato
Harvinder Lehal
Simon Maskell
L. Devlin
Malcolm Strens
19
0
0
15 May 2025
A Bernstein-von Mises Theorem for Generalized Fiducial Distributions
A Bernstein-von Mises Theorem for Generalized Fiducial Distributions
J. E. Borgert
Jan Hannig
FedML
18
0
0
31 Jan 2024
Robust and Conjugate Gaussian Process Regression
Robust and Conjugate Gaussian Process Regression
Matias Altamirano
F. Briol
Jeremias Knoblauch
35
10
0
01 Nov 2023
Misspecified Bernstein-Von Mises theorem for hierarchical models
Misspecified Bernstein-Von Mises theorem for hierarchical models
Geerten Koers
Botond Szabó
A. van der Vaart
38
2
0
15 Aug 2023
Robust and Scalable Bayesian Online Changepoint Detection
Robust and Scalable Bayesian Online Changepoint Detection
Matias Altamirano
F. Briol
Jeremias Knoblauch
40
12
0
09 Feb 2023
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
20
5
0
19 Sep 2022
Generalised Bayesian Inference for Discrete Intractable Likelihood
Generalised Bayesian Inference for Discrete Intractable Likelihood
Takuo Matsubara
Jeremias Knoblauch
F. Briol
Chris J. Oates
42
14
0
16 Jun 2022
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