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A robust false discovery rate controlling procedure using the empirical likelihood with a fast algorithm
This paper introduces a robust procedure for controlling the false discovery rate utilizing empirical likelihood. Traditional approaches assume a normal or parametric distribution as the null distr...
期刊介绍：
Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer.
Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems.
JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented.
Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.
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