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--- seminars:stat:191114 [2019/10/31 07:44]
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+++ seminars:stat:191114 [2019/11/13 12:58] (current)
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, November 14, 2019 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|WH 100E |
+^  **SPEAKER:**|Baozhen Wang, Binghamton University |
+^  **TITLE:**|Conformal prediction and the limit of distribution-free conditional predictive inference|
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+Conformal prediction uses past experience to determine
+precise levels of confidence in new predictions. The proposed methodology
+allows for the construction of a distribution-free prediction bands for
+the response variable using any algorithm. The resulting prediction bands
+preserves marginal coverage guarantee, where predictive coverage holds on
+average over all possible test points, but is not sufficient for many
+practical applications. We aim to produce predictive conditional coverage
+rather than marginally with certain types of constrains and assumptions,
+while still being possible to achieve in a distribution-free setting.
+</WRAP>