ISyE Statistics Seminar: Professor Ming-Yen Cheng

Event Details
  • Date/Time:
    • Wednesday January 24, 2007
      10:00 am - 11:00 am
  • Location: ISyE MAIN, Executive Classroom
  • Phone: (404) 894-2300
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
Yajun Mei
ISyE
Contact Yajun Mei
404-894-2300
Summaries

Summary Sentence: ISyE Statistics Seminar: Professor Ming-Yen Cheng

Full Summary: ISyE Statistics Seminar: Nonparametric smoothing problems under dependent truncation

ISyE Statistics Seminar: Nonparametric smoothing problems under dependent truncation

GUEST LECTURER
Professor Ming-Yen Cheng

AFFILIATION
Department of Mathematics, National Taiwan University

ABSTRACT
Data truncation is a problem in scientific investigations. So far, statistical models and inferences are mostly based on the assumption that the survival and truncation times are independent, which can be unrealistic in applications. In a nonparametric setting, we discuss identifiability of the conditional and unconditional survival and hazard functions when the survival times are subject to dependent truncation, namely, the survival time is dependent on the truncation time. A motivating example is discussed. Nonparametric kernel estimators of these unknowns are proposed. Usefulness of the nonparametric estimators are demonstrated through their theoretical
properties, an application to real data and a simulation study. This is a joint work with Peter Hall and You-Jun Yang.

Additional Information

In Campus Calendar
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Groups

H. Milton Stewart School of Industrial and Systems Engineering (ISYE)

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Categories
Seminar/Lecture/Colloquium
Keywords
ISyE Statistics Seminar, Ming-Yen Cheng
Status
  • Created By: Ruth Gregory
  • Workflow Status: Published
  • Created On: Oct 12, 2009 - 5:22pm
  • Last Updated: Oct 7, 2016 - 9:48pm