This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 213
Type: Invited
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #306292
Title: Multiple Comparisons in Searching for Local Signals
Author(s): David Siegmund*+
Companies: Stanford University
Address: Department of Statistics, Stanford, CA, 94305,
Keywords: multiple comparisons ; random fields ; signal detection ; estimation bias
Abstract:

Advances in one's ability to collect large amounts of data in biology/genetics and elsewhere lead to statistical problems that involve searching an indexed set of observations for signals that are manifested as ``peaks'' against a noisy background. I will describe a number of examples and discuss three common statistical problems: (1) Multiple comparisons in signal detection, (2) Bias in the estimation of signal amplitude, and (3) Model selection.


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