JSM Activity #308

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Activity ID:  308
Title Room
Bootstrapping for Dependent Data H-Clayton
Date / Time Sponsor Type
08/09/2001    8:30 AM  -  10:20 AM IMS Invited
Organizer: Michael Stein, University of Chicago
Chair: David Higdon, Duke University
Discussant:  
Description

Bootstrapping provides a general approach to inference for stochastic processes. However, both the methodology and theory of bootstrapping becomes more difficult when observations are not independent. These three talks consider bootstrapping procedures and their properties for a variety of stochastic processes.
  300124  By:  Efstathios Paparoditis 8:35 AM 08/09/2001
Three Variations on the Block-bootstrap Theme

  300453  By:  Willard Braun 9:10 AM 08/09/2001
Post-Blackening the Block Bootstrap for Point Processes

  300126  By:  Soumendra Lahiri 9:45 AM 08/09/2001
Higher Order Properties of Block Bootstrap Confidence Intervals

JSM 2001

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Revised March 2001