2009: Semiparametric Methodology

January 8-10, 2009

Semiparametric methods continue to be an active research area, especially as computing resources and power grow. These methods are used for inference in models with both parametric and nonparametric components. Work in this setting ranges from semiparametric modeling and efficiency to semiparametric regression.

Invited Speakers – abstracts & Talks

Raymond Carroll, Texas A& M University
Peter Hoff, University of Washington
Wes Johnson, University of California, Irvine
Susan Murphy, University of Michigan
Dave Ruppert, Cornell University
Butch Tsiatis, North Carolina State University
Matt Wand, University of Wollongong (Australia)
Naisyn Wang, Texas A&M University
L.J. Wei, Harvard University
Jon Wellner, University of Washington

Organizers

Michael Daniels, Ronald Randles, and Linda Young

Sponsors

National Science Foundation
Info Tech
UF Graduate School
UF College of Liberal Arts and Sciences
UF Department of Statistics

Conference Photo