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DTSTART:20181104T020000
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UID:calendar.1360.field_event_date.0@uwaterloo.ca/statistics-and-actuarial-
science
DTSTAMP:20190625T082441Z
CREATED:20190305T181951Z
DESCRIPTION:Excursion Probabilities and Geometric Properties of Multivariat
e Gaussian Random Fields\n\n\n\nExcursion probabilities of Gaussian random
fields have many applications in statistics (e.g.\, scanning statistic an
d control of false discovery rate (FDR)) and in other areas. The study of
excursion probabilities has had a long history and is closely related to g
eometry of Gaussian random fields. In recent years\, important development
s have been made in both probability and statistics.\n\n\n\nIn this talk\,
we consider the excursion probabilities of bivariate Gaussian random fiel
ds with non-smooth (or fractal) sample functions and study their geometric
properties and excursion probabilities. Important classes of multivariate
Gaussian random fields are those stationary with MatÃ©rn cross-covariance
functions [Gneiting\, Kleiber\, and Schlather (2010)] and operator fractio
nal Brownian motions which are operator-self-similar with stationary incre
ments.
DTSTART;TZID=America/Toronto:20190328T160000
DTEND;TZID=America/Toronto:20190328T160000
LAST-MODIFIED:20190305T182406Z
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 Yimin Xiao\, Michigan State University
URL;TYPE=URI:https://uwaterloo.ca/statistics-and-actuarial-science/events/d
epartment-seminar-yimin-xiao-michigan-state-university
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