Multiple Hypothesis Testing

Abstract

Current statistical inference problems in areas such as astronomy, genomics, and marketing routinely involve the simultaneous test of thousands, or even millions, of null hypotheses. These hypotheses concern a wide range of parameters, for high-dimensional multivariate distributions, with complex and unknown dependence structures among variables. Examples of testing problems in biomedical and genomic research include the following.