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Consistency of Bayesian Linear Model Selection With a Growing Number of
  Parameters
v1v2 (latest)

Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters

4 February 2011
Zuofeng Shang
M. Clayton
ArXiv (abs)PDFHTML

Papers citing "Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters"

10 / 10 papers shown
Adaptive random neighbourhood informed Markov chain Monte Carlo for
  high-dimensional Bayesian variable Selection
Adaptive random neighbourhood informed Markov chain Monte Carlo for high-dimensional Bayesian variable SelectionStatistics and computing (Stat Comput), 2021
Xitong Liang
Samuel Livingstone
Jim Griffin
BDL
318
11
0
22 Oct 2021
Revisiting High Dimensional Bayesian Model Selection for Gaussian
  Regression
Revisiting High Dimensional Bayesian Model Selection for Gaussian Regression
Zikun Yang
Andrew Womack
127
0
0
15 May 2019
Bayes Factor Asymptotics for Variable Selection in the Gaussian Process
  Framework
Bayes Factor Asymptotics for Variable Selection in the Gaussian Process Framework
Minerva Mukhopadhyay
S. Bhattacharya
266
1
0
23 Oct 2018
Bayesian Bandwidth Test and Selection for High-dimensional Banded
  Precision Matrices
Bayesian Bandwidth Test and Selection for High-dimensional Banded Precision MatricesBayesian Analysis (Bayesian Anal.), 2018
Kyoungjae Lee
Lizhen Lin
309
2
0
23 Apr 2018
Bayesian model selection consistency and oracle inequality with
  intractable marginal likelihood
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood
Yun Yang
D. Pati
405
20
0
02 Jan 2017
Bayesian Variable Selection Under High-dimensional Settings With Grouped
  Covariates
Bayesian Variable Selection Under High-dimensional Settings With Grouped Covariates
Pranay Agarwal
S. Dutta
Minerva Mukhopadhyay
861
0
0
20 Sep 2016
Bayes factor consistency
Bayes factor consistency
S. Chib
Todd A. Kuffner
326
28
0
01 Jul 2016
On the Computational Complexity of High-Dimensional Bayesian Variable
  Selection
On the Computational Complexity of High-Dimensional Bayesian Variable Selection
Yun Yang
Martin J. Wainwright
Sai Li
218
158
0
29 May 2015
A Mixture of g-priors for Variable Selection when the Number of
  Regressors Grows with the Sample Size
A Mixture of g-priors for Variable Selection when the Number of Regressors Grows with the Sample Size
Minerva Mukhopadhyay
215
7
0
15 Apr 2015
Bayesian model choice and information criteria in sparse generalized
  linear models
Bayesian model choice and information criteria in sparse generalized linear models
Rina Foygel
Mathias Drton
302
66
0
23 Dec 2011
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