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DTSTART:20191103T020000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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DTSTART:20200308T020000
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BEGIN:VEVENT
UID:calendar.1492.field_event_date.0@uwaterloo.ca/statistics-and-actuarial-
science
DTSTAMP:20220820T003914Z
CREATED:20191008T175358Z
DESCRIPTION:A General Framework for Quantile Estimation with Incomplete Dat
a\n\n\n\nQuantile estimation has attracted significant research interests
in recent years. However\, there has been only a limited literature on qua
ntile estimation in the presence of incomplete data. In this paper\, we pr
opose a general framework to address this problem. Our framework combines
the two widely adopted approaches for missing data analysis\, the imputati
on approach and the inverse probability weighting approach\, via the empir
ical likelihood method. The proposed method is capable of dealing with man
y different missingness settings. We mainly study three of them: (i) estim
ating the marginal quantile of a response that is subject to missingness w
hile there are fully observed covariates\; (ii) estimating the conditional
quantile of a fully observed response while the covariates are partially
available\; and (iii) estimating the conditional quantile of a response th
at is subject to missingness with fully observed covariates and extra auxi
liary variables. The proposed method allows multiple models for both the m
issingness probability and the data distribution. The resulting estimators
are multiply robust in the sense that they are consistent if any one of t
hese models is correctly specified. The asymptotic distributions are estab
lished using the empirical process theory.\n\n\n\n \n\n\n\nJoint work with
Peisong Han\, Jiwei Zhao and Xingcai Zhou.
DTSTART;TZID=America/Toronto:20191121T160000
DTEND;TZID=America/Toronto:20191121T160000
LAST-MODIFIED:20191101T133414Z
LOCATION:M3 - Mathematics 3\n \n\n Room: 3127 \n
\n\n \n\n 200 University Avenue West \n
Waterloo\, ON\n
N2L 3G1\n \nCanada
SUMMARY:Department seminar by Linglong Kong\, University of Alberta
URL;TYPE=URI:https://uwaterloo.ca/statistics-and-actuarial-science/events/d
epartment-seminar-linglong-kong-university-alberta-0
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