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Laplace and Saddlepoint Approximations in High Dimensions

Laplace and Saddlepoint Approximations in High Dimensions

22 July 2021
Yanbo Tang
Nancy Reid
ArXivPDFHTML

Papers citing "Laplace and Saddlepoint Approximations in High Dimensions"

3 / 3 papers shown
Title
Lower bounds on the rate of convergence for accept-reject-based Markov
  chains in Wasserstein and total variation distances
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances
Austin R. Brown
Galin L. Jones
28
3
0
12 Dec 2022
Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century
G. Martin
David T. Frazier
Christian P. Robert
48
26
0
20 Dec 2021
Directional testing for high-dimensional multivariate normal
  distributions
Directional testing for high-dimensional multivariate normal distributions
Caizhu Huang
Claudia Di Caterina
Nicola Sartori
23
4
0
20 Jul 2021
1