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