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DTSTAMP:20250630T140451Z
DESCRIPTION:\n	Abstract:\n\n\nInformative selection\, in which the distribut
 ion of response variables given that they are sampled is different from th
 eir distribution in the population\, is pervasive in complex surveys. Fail
 ing to take such informativeness into account can produce severe inferenti
 al errors\, including biased and inconsistent estimation of population par
 ameters. While several parametric procedures exist to test for informative
  selection\, these methods are limited in scope and their parametric assum
 ptions are difficult to assess. We consider two classes of nonparametric t
 ests of informative selection. The first class is motivated by classic non
 parametric two-sample tests. We compare weighted and unweighted empirical 
 distribution functions and obtain tests for informative selection that are
  analogous to Kolmogorov-Smirnov and Cramer-von Mises. For the second clas
 s of tests\, we adapt a kernel-based learning method that compares distrib
 utions based on their maximum mean discrepancy. The asymptotic distributio
 ns of the test statistics are established under the null hypothesis of non
 informative selection. Simulation results show that our tests have power c
 ompetitive with existing parametric tests in a correctly specified paramet
 ric setting\, and better than those tests under model misspecification. A 
 recreational angling application illustrates the methodology.\n\n\n	Speaker
 \n\n\nJay Breidt is a professor and associate chair in the Department of S
 tatistics. His research focuses on statistical inference in finite populat
 ion sampling and natural resources monitoring\; his specific emphasis is o
 n survey sampling\, time series and uncertainty quantification. Breidt is 
 the associate editor for the Journal of Forecasting\, Environmental and Ec
 ological Statistics.\n\n\n	Zoom Link\n\n	Meeting ID: 939 8331 3215\n\n	Passco
 de: 096952\n\n
DTSTART:20210312T203000Z
DTEND:20210312T213000Z
SUMMARY:Jay Breidt (Colorado State University)
URL:/mathstat/channels/event/jay-breidt-colorado-state
 -university-329400
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