Faculty Candidate Presentation/Colloquium
January 18 (Wednesday) 11 a.m.
Alavi Commons Room, 6625 Everett Tower

Empirical Likelihood Based Detection Procedure for Change Point in Mean Residual Life Functions

Ying-Ju Chen
Visiting Assistant Professor
Miami University in Ohio

Mean residual life function is an important function in survival analysis which describes the expected remaining lifetime given survival time up to a certain age. In this talk, I will introduce a nonparametric method based on empirical likelihood to test the change point of mean residual life functions of independent random variables. Monte Carlo simulations under different lifetime settings are carried out to show the power performance. Two real data examples are analyzed to illustrate the testing procedure. I will briefly introduce several ongoing projects as well.

Ying-Ju Chen graduated with a Ph.D. in Statistics from Bowling Green State University in 2015, and is currently a visiting assistant professor at Miami University in Ohio. Her research interests include empirical likelihood methods, sequential analysis, change point problems, machine learning, and survival analysis.
All statistics graduate students are expected to attend.


Past colloquiums


Department of Statistics
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Western Michigan University
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