Parallel inference for big data with the group Bayesian method-Reference-Cited by-同舟云学术

Parallel inference for big data with the group Bayesian method

Published:2020-06-25 Issue:2 Volume:84 Page:225-243
ISSN:0026-1335
Container-title:Metrika
language:en
Short-container-title:Metrika

Author:

Guo Guangbao^ORCID,Qian Guoqi,Lin Lu,Shao Wei

Funder

Natural Science Foundation of Shandong

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00184-020-00784-0.pdf

Reference20 articles.

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3. Denwood MJ (2016) runjags: An R package providing interface utilities, model templates, parallel computing methods and additional distributions for MCMC models in JAGS. J Stat Softw 71(9):1–25

4. Jiang W (2007) Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities. Ann Stat 35(4):1487–1511

5. Johndrow J, Orenstein P, Bhattacharya A (2017) Bayes shrinkage at GWAS scale: convergence and approximation theory of a scalable MCMC algorithm for the horseshoe prior. ArXiv:1705.00841

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