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.

2009 Conference Program (PDF)

Invited Speakers – abstracts & Talks

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

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