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1807.03439
Cited By

Bayesian Linear Regression for Multivariate Responses Under Group
Sparsity

v1v2v3 (latest)

Bayesian Linear Regression for Multivariate Responses Under Group Sparsity

10 July 2018

Seonghyun Jeong

ArXiv (abs)PDF HTML

Papers citing "Bayesian Linear Regression for Multivariate Responses Under Group Sparsity"

21 / 21 papers shown

Adaptive posterior concentration rates for sparse high-dimensional
linear regression with random design and unknown error variance

Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance

266

1

0

29 May 2024

Posterior contraction rates in a sparse non-linear mixed-effects model

Posterior contraction rates in a sparse non-linear mixed-effects model

Laure Sansonnet

183

0

0

02 May 2024

Bayesian Inference for Consistent Predictions in Overparameterized
Nonlinear Regression

Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression

Tomoya Wakayama

357

0

0

06 Apr 2024

Bayesian Inference for High-dimensional Time Series by Latent Process
Modeling

Bayesian Inference for High-dimensional Time Series by Latent Process Modeling

379

0

0

07 Mar 2024

A Variational Spike-and-Slab Approach for Group Variable Selection

A Variational Spike-and-Slab Approach for Group Variable SelectionBayesian Analysis (Bayes. Anal.), 2023

Hossein Rastgoftar

Jun S. Liu

231

1

0

28 Sep 2023

Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra

Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra

Tomoya Wakayama

Masaaki Imaizumi

445

1

0

25 May 2023

Bayesian Sparse Regression for Mixed Multi-Responses with Application to
Runtime Metrics Prediction in Fog Manufacturing

Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing

141

10

0

10 Oct 2022

Posterior contraction and uncertainty quantification for the
multivariate spike-and-slab LASSO

Posterior contraction and uncertainty quantification for the multivariate spike-and-slab LASSOJournal of Multivariate Analysis (J. Multivar. Anal.), 2022

Sameer K. Deshpande

213

1

0

09 Sep 2022

A sequential stepwise screening procedure for sparse recovery in
high-dimensional multiresponse models with complex group structures

A sequential stepwise screening procedure for sparse recovery in high-dimensional multiresponse models with complex group structuresStatistics and its Interface (SII), 2022

154

1

0

13 Aug 2022

Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with
Shrinkage Priors

Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage PriorsElectronic Journal of Statistics (EJS), 2022

Shao‐Hsuan Wang

Hsin-Hsiung Huang

528

7

0

30 Jan 2022

$Bayesian $L_{\frac{1}{2}}$ regression$

L_{\frac{1}{2}}

regressionJournal of Computational And Graphical Statistics (JCGS), 2021

229

1

0

07 Aug 2021

Spike and slab Bayesian sparse principal component analysis

Spike and slab Bayesian sparse principal component analysisStatistics and computing (Stat Comput), 2021

Yu-Chien Bo Ning

266

16

0

30 Jan 2021

Bayesian inference in high-dimensional models

Bayesian inference in high-dimensional models

Sayantan Banerjee

279

26

0

12 Jan 2021

Posterior contraction in group sparse logit models for categorical
responses

Posterior contraction in group sparse logit models for categorical responses

Seonghyun Jeong

366

5

0

07 Oct 2020

Time-varying auto-regressive models for count time-series

Time-varying auto-regressive models for count time-seriesElectronic Journal of Statistics (EJS), 2020

220

11

0

13 Sep 2020

Bayesian modelling of time-varying conditional heteroscedasticity

Bayesian modelling of time-varying conditional heteroscedasticityBayesian Analysis (BA), 2020

284

14

0

13 Sep 2020

Unified Bayesian theory of sparse linear regression with nuisance
parameters

Unified Bayesian theory of sparse linear regression with nuisance parameters

Seonghyun Jeong

273

9

0

24 Aug 2020

The art of BART: Minimax optimality over nonhomogeneous smoothness in
high dimension

The art of BART: Minimax optimality over nonhomogeneous smoothness in high dimension

Seonghyun Jeong

Veronika Rockova

409

14

0

15 Aug 2020

Ultra High-dimensional Multivariate Posterior Contraction Rate Under
Shrinkage Priors

Ultra High-dimensional Multivariate Posterior Contraction Rate Under Shrinkage Priors

173

6

0

09 Apr 2019

Empirical priors and coverage of posterior credible sets in a sparse
normal mean model

Empirical priors and coverage of posterior credible sets in a sparse normal mean model

312

20

0

05 Dec 2018

Bayesian Estimation of Sparse Spiked Covariance Matrices in High
Dimensions

Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions

Carey E. Priebe

225

10

0

22 Aug 2018

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