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Selective inference in complex research problems

Benjamini, Y (Tel Aviv)
Tuesday 01 April 2008, 10:00-11:00

Seminar Room 1, Newton Institute


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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