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Complex likelihood ratio test for generalized linear models

  • Speaker: Xingwei TONG (Beijing Normal University)

  • Time: Nov 18, 2018, 11:30-12:30

  • Location: Conference Room 415, Hui Yuan 3#

In this talk, we consider a special hypothesis test. First, we use it to analyze the common linear model and proposed a decision rule to control Type I error. Then we extend it to the generalized linear model (GLM). To be compatible with GLM, we propose a new definition with complex likelihood function and complete likelihood ratio test for GLM, which better fits the problem.

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