ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.07429
  4. Cited By
Approximate Laplace approximations for scalable model selection

Approximate Laplace approximations for scalable model selection

14 December 2020
D. Rossell
Oriol Abril
A. Bhattacharya
ArXivPDFHTML

Papers citing "Approximate Laplace approximations for scalable model selection"

7 / 7 papers shown
Title
Skew-symmetric approximations of posterior distributions
Skew-symmetric approximations of posterior distributions
Francesco Pozza
Daniele Durante
Botond Szabó
39
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
21
5
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
15
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
29
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
20
20
0
31 Jul 2019
Concentration of posterior probabilities and normalized L0 criteria
Concentration of posterior probabilities and normalized L0 criteria
D. Rossell
16
6
0
11 Jun 2018
Non-Local Priors for High-Dimensional Estimation
Non-Local Priors for High-Dimensional Estimation
D. Rossell
D. Telesca
35
80
0
20 Feb 2014
1