Sam Efromovich: Missing and Modified Data in Nonparametric Statistics

Sam Efromovich (Department of Mathematical Sciences, University of Texas at Dallas, USA) will give a talk on May 21st at 14:15 in the Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor.

Sam Efromovich in Endowed Professor of Statistics at the Department of Mathematical Sciences of the University of Texas at Dallas (USA)

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 non-parametric 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. Time permitted, several recent results and open problems will be highlighted.

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Tags: Seminar Series in Statistics and Data Science
Published Mar. 11, 2019 1:38 PM - Last modified May 14, 2019 3:40 PM