ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.06607
  4. Cited By
High-dimensional posterior consistency for hierarchical non-local priors
  in regression
v1v2v3 (latest)

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

19 September 2017
Xuan Cao
Kshitij Khare
M. Ghosh
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
Bernstein von-Mises Theorem for g-prior and nonlocal prior
Bernstein von-Mises Theorem for g-prior and nonlocal prior
Xiao Fang
Malay Ghosh
205
0
0
26 Jan 2024
High-Dimensional Bernstein Von-Mises Theorems for Covariance and
  Precision Matrices
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices
Partha Sarkar
Kshitij Khare
Malay Ghosh
Matt P. Wand
269
1
0
15 Sep 2023
Bayesian inference on hierarchical nonlocal priors in generalized linear
  models
Bayesian inference on hierarchical nonlocal priors in generalized linear modelsBayesian Analysis (Bayesian Anal.), 2022
Xuan Cao
Kyoungjae Lee
210
3
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 varianceStatistical Papers (SP), 2022
X. Fang
M. Ghosh
243
6
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 dimensionsStatistics and computing (Stat. Comput.), 2022
Srijata Samanta
Kshitij Khare
George Michailidis
319
9
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 SettingsJournal of Computational And Graphical Statistics (JCGS), 2020
Dongjin Li
Somak Dutta
Vivekananda Roy
227
13
0
13 Jun 2020
Joint Bayesian Variable and DAG Selection Consistency for
  High-dimensional Regression Models with Network-structured Covariates
Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured CovariatesStatistica sinica (SS), 2020
Xuan Cao
Kyoungjae Lee
147
6
0
20 Apr 2020
The Reciprocal Bayesian LASSO
The Reciprocal Bayesian LASSOStatistics in Medicine (Stat. Med.), 2020
Himel Mallick, PhD, FASA
Rahim Alhamzawi
Erina Paul
V. Svetnik
BDL
384
17
0
23 Jan 2020
Additive Bayesian variable selection under censoring and
  misspecification
Additive Bayesian variable selection under censoring and misspecificationStatistical Science (Statist. Sci.), 2019
D. Rossell
F. Rubio
CML
324
23
0
31 Jul 2019
Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG
  Models with Multiplicative and Beta-mixture Priors
Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG Models with Multiplicative and Beta-mixture Priors
Xuan Cao
Kshitij Khare
M. Ghosh
173
8
0
08 Mar 2019
1
Page 1 of 1