American Statistical Association
Horovitz-Thompson or inverse probability weighted (IPW) versions of likelihood equations provide one simple method of estimation for two-phase stratified sampling designs. In this talk, I will discuss some results for the basic Horovitz-Thompson empirical processes, which allows study of the asymptotic behavior of estimators for semiparametric models with nuisance parameters which can be estimated at rate square-root n. The results are based in part on theory for exchangeably weighted bootstrap empirical processes and also in part on new $Z-$theorems with estimated parameters.
|Date:||Wednesday, November 11, 2009|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
3rd Floor Conference Room
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.