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Selective inference in complex research problems

Presented by: 
Y Benjamini [Tel Aviv]
Date: 
Tuesday 1st April 2008 - 10:00 to 11:00
Venue: 
INI Seminar Room 1
Abstract: 

We shall highlight the problem of selective inference in genomics using some recent studies. The False Discovery Rate (FDR) approach to this problem will be reviewed, and then we shall discuss: (i) advances in hierarchical testing with an example from a study associating gene expression in the brain with multiple traits of behavior; (ii) screening for partial conjunctions in order to address replicability; and (iii) selective confidence intervals in the frequentist and Bayesian frameworks.

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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons