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High-dimensional posterior consistency for hierarchical non-local priors
  in regression

High-dimensional posterior consistency for hierarchical non-local priors in regression

19 September 2017
Xuan Cao
Kshitij Khare
M. Ghosh
ArXivPDFHTML

Papers citing "High-dimensional posterior consistency for hierarchical non-local priors in regression"

5 / 5 papers shown
Title
Bernstein von-Mises Theorem for g-prior and nonlocal prior
Bernstein von-Mises Theorem for g-prior and nonlocal prior
Xiao Fang
Malay Ghosh
17
0
0
26 Jan 2024
Bayesian inference on hierarchical nonlocal priors in generalized linear
  models
Bayesian inference on hierarchical nonlocal priors in generalized linear models
Xuan Cao
Kyoungjae Lee
35
1
0
14 Mar 2022
High-dimensional properties for empirical priors in linear regression
  with unknown error variance
High-dimensional properties for empirical priors in linear regression with unknown error variance
X. Fang
M. Ghosh
26
5
0
11 Feb 2022
A generalized likelihood based Bayesian approach for scalable joint
  regression and covariance selection in high dimensions
A generalized likelihood based Bayesian approach for scalable joint regression and covariance selection in high dimensions
Srijata Samanta
Kshitij Khare
George Michailidis
21
7
0
14 Jan 2022
Model Based Screening Embedded Bayesian Variable Selection for
  Ultra-high Dimensional Settings
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings
Dongjin Li
Somak Dutta
Vivekananda Roy
11
11
0
13 Jun 2020
1