Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large <i>n</i>, Large <i>p</i>” Bayesian Sparse Regression-Reference-Cited by-同舟云学术

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Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in “Large n, Large p” Bayesian Sparse Regression

Published:2022-05-09 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Nishimura Akihiko¹^ORCID,Suchard Marc A.²^ORCID

Affiliation:

1. Department of Biostatistics, Johns Hopkins University, Baltimore, MD

2. Department of Biomathematics, Biostatistics, and Human Genetics, University of California-Los Angeles, Los Angeles, CA

Funder

National Science Foundation

National Institutes of Health

Food and Drug Administration grant HHS

Division of Mathematical Sciences

National Institute of Allergy and Infectious Diseases

U.S. Food and Drug Administration

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2022.2057859

Reference50 articles.

1. The formal definition of reference priors

2. Lasso Meets Horseshoe: A Survey

3. Fast sampling with Gaussian scale mixture priors in high-dimensional regression

4. Dirichlet–Laplace Priors for Optimal Shrinkage

5. The horseshoe estimator for sparse signals

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