[Statlist] Talk by Sam Efromovich, UT Dallas

[Reinhard Furrer]

Research Seminar in Applied Statistics, IMath, UZH

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Sam Efromovich
Department of Mathematical Sciences, University of Texas at Dallas

"Missing and Modified Data in Nonparametric Statistics"

Thursday, 17.05.18, at 15.00, Y27H12, Campus Irchel, 
https://www.math.uzh.ch/index.php?id=119&L=1

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Title: Missing and Modified Data in Nonparametric Statistics

Abstract: After a short introduction to topics in nonparametric curve 
estimation, covered in my new 2018 Chapman & Hall book with the same 
title as the talk, three specific problems will be considered. The first 
one is nonparametric regression with missing at random (MAR) responses. 
It will be explained that a complete case approach is optimal in this 
case. The second problem is a nonparametric regression with missing at 
random (MAR) predictors. It will be explained that in general a complete 
case approach is inconsistent for this type of missing and a special 
procedure is needed for efficient estimation. The last explored problem 
is devoted to survival analysis, specifically to efficient estimation of 
a hazard rate function for truncated and censored data.

Organizer: Prof. Reinhard Furrer