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	Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition (EI收录)
	Li, Song[1]; Tso, Geoffrey K.F.[1]; Long, Lufan[2]
刊名	Computational Statistics and Data Analysis
	2017
卷号	115页码:11-20
关键词	Bayesian networks Chains Data handling Inference engines Markov processes Maximum likelihood Monte Carlo methods Statistical methods
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2184984
专题	华南理工大学
作者单位	1.[1] College of Business, City University of Hong Kong, Hong Kong 2.[2] School of Mathematical Sciences, Peking University, China
推荐引用方式 GB/T 7714	Li, Song[1],Tso, Geoffrey K.F.[1],Long, Lufan[2]. Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition (EI收录)[J]. Computational Statistics and Data Analysis,2017,115:11-20.
APA	Li, Song[1],Tso, Geoffrey K.F.[1],&Long, Lufan[2].(2017).Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition (EI收录).Computational Statistics and Data Analysis,115,11-20.
MLA	Li, Song[1],et al."Powered embarrassing parallel MCMC sampling in Bayesian inference, a weighted average intuition (EI收录)".Computational Statistics and Data Analysis 115(2017):11-20.

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