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--- seminars:stat:210401 [2021/03/25 17:42] – qyu
+++ seminars:stat:210401 [2021/03/27 12:53] (current) – qyu
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, April 1, 2021 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|Zoom meeting |
+^  **SPEAKER:**|Mengyu Chen, Binghamton University |
+^  **TITLE:**|An Empirical Likelihood Approach with Bivariate Data  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+Consider a random sample from a bivariate random vector
+whose marginal distributions differ by a location parameter.
+An empirical likelihood approach with a fixed number of unknown
+constraints is proposed.  A Wilks’ type theorem is derived,
+including the construction of a non-parametric confidence region and test.
+Then a uniform local asymptotic normality condition is established
+for the empirical likelihood. This is used to derive various versions
+of maximum empirical likelihood estimators based on the work of
+Peng and Schick (2018).
+This is the Admission to Candidacy Exam for Mengyu Chen.
+The Committee members are Guifang Fu, Anton Schick (Chair),
+and Qiqing Yu.
+</WRAP>