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In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo
  schemes for Bayesian variable selection with very large p

In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p

18 August 2017
Jim Griffin
Krys Latuszynski
M. Steel
    AI4TS
ArXivPDFHTML

Papers citing "In Search of Lost (Mixing) Time: Adaptive Markov chain Monte Carlo schemes for Bayesian variable selection with very large p"

3 / 3 papers shown
Title
Bayesian Variable Selection in a Million Dimensions
Bayesian Variable Selection in a Million Dimensions
M. Jankowiak
BDL
8
3
0
02 Aug 2022
Bayesian inference on hierarchical nonlocal priors in generalized linear
  models
Bayesian inference on hierarchical nonlocal priors in generalized linear models
Xuan Cao
Kyoungjae Lee
25
1
0
14 Mar 2022
Approximate Laplace approximations for scalable model selection
Approximate Laplace approximations for scalable model selection
D. Rossell
Oriol Abril
A. Bhattacharya
8
15
0
14 Dec 2020
1