4/3/2015 Friday 1:30pm - 2:50pm, Geno Café (E3607)
4/24/2015 "A Framework for Quantifying Risk Stratification from Diagnostic Tests"
Title: Estimation and inference with semiparametric models
Speaker: Zhezhen Jin, Department of Biostatistics, Columbia University
It is challenging to obtain variance estimates if estimating functions are nonregular, such as non-smooth and non-monotone, in particular for censored data. We develop self-induced objective functions and Monte Carlo smoothing method for the estimation and inference for semiparametric models. The approach does not require any explicit form, not even the estimating function itself. We present general convergence theory and demonstrate the methods with examples.
Hormuzd A. Katki, National Cancer Institute, NIH
5/8/2015 Gary Chan, University of Washington
5/29/2015 Rahul Biswas, Indian Statistical Institute