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Approximate Laplace approximations for scalable model selection
v1v2 (latest)

Approximate Laplace approximations for scalable model selection

14 December 2020
D. Rossell
Oriol Abril
A. Bhattacharya
ArXiv (abs)PDFHTML

Papers citing "Approximate Laplace approximations for scalable model selection"

6 / 6 papers shown
Title
Skew-symmetric approximations of posterior distributions
Skew-symmetric approximations of posterior distributions
Francesco Pozza
Daniele Durante
Botond Szabó
126
2
0
21 Sep 2024
Adaptive MCMC for Bayesian variable selection in generalised linear
  models and survival models
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models
Xitong Liang
Samuel Livingstone
Jim Griffin
127
6
0
01 Aug 2023
Scalable Bayesian bi-level variable selection in generalized linear
  models
Scalable Bayesian bi-level variable selection in generalized linear models
Younès Youssfi
Nicolas Chopin
87
0
0
22 Mar 2023
Bayesian inference on hierarchical nonlocal priors in generalized linear
  models
Bayesian inference on hierarchical nonlocal priors in generalized linear models
Xuan Cao
Kyoungjae Lee
94
1
0
14 Mar 2022
Additive Bayesian variable selection under censoring and
  misspecification
Additive Bayesian variable selection under censoring and misspecification
D. Rossell
F. Rubio
CML
137
20
0
31 Jul 2019
Concentration of posterior probabilities and normalized L0 criteria
Concentration of posterior probabilities and normalized L0 criteria
D. Rossell
268
6
0
11 Jun 2018
1