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[会议论文] 作者：Faming Liang,
来源：泛华统计学会(icsa)2015年学术会议 年份：2015
Markov chain Monte Carlo(MCMC) methods have proven to be a very powerful tool for analyzing data of complex structures.However,their computer-intensive nature,w...
[会议论文] 作者：Faming Liang,
来源：上海交通大学 年份：2016
Recent advances in high-throughput biotechnologies have provided an unprecedented oppor-tunity for biomarker discovery,which,from a statistical point of view,can be cast as a variable selection proble...
[会议论文] 作者：Qifan Song,Faming Liang,
来源：上海交通大学 年份：2016
During the past decade,shrinkage priors have received much attention in Bayesian analysis of high-dimensional data....
[期刊论文] 作者：Yichen Cheng,Xin Gao,Faming Liang,
来源：黑龙江科技信息 年份：2014
本文通过对荣华二采区10...
[会议论文] 作者：Tianzhou Ma,Faming Liang,George C.Tseng,
来源：上海交通大学 年份：2016
With rapid accumulation of public gene expression data,meta-analysis to combine multiple transcriptomic studies for biomarker detection improves detection accuracy and robustness....
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