BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UC Irvine Donald Bren School of Information & Computer Sciences - ECPv6.3.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:UC Irvine Donald Bren School of Information & Computer Sciences
X-ORIGINAL-URL:https://ics.uci.edu
X-WR-CALDESC:Events for UC Irvine Donald Bren School of Information & Computer Sciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240307T160000
DTEND;TZID=America/Los_Angeles:20240307T170000
DTSTAMP:20260309T083315
CREATED:20240110T151033Z
LAST-MODIFIED:20240116T180757Z
UID:20168-1709827200-1709830800@ics.uci.edu
SUMMARY:Modeling Functional Brain Imaging Data with Mixed Membership Models
DESCRIPTION:Abstract: We characterize functional brain imaging data\, obtained via electroencephalograms\, as functional data. Due to the highly observed levels of signal heterogeneity\, functional regression analysis tends to only explain a small amount of the observed variance. We discuss a novel analytical framework combining regression and mixed membership modeling\, to obtain deeper insights into sources of data heterogeneity\, and single out important functional features which change with covariate information. Throughout the work\, we pay particular attention to issues of robustness\, conditional consistency in estimation\, as well as adjustments for phase variability. Our proposed methodological framework is based on flexible representations of Gaussian Processes. Time permitting\, we will discuss generalizations to more general stochastic processes and metrics.
URL:https://ics.uci.edu/event/modeling-functional-brain-imaging-data-with-mixed-membership-models/
LOCATION:Donald Bren Hall\, Irvine\, CA\, 92697\, United States
CATEGORIES:Department Seminars
ATTACH;FMTTYPE=image/jpeg:https://ics.uci.edu/wp-content/uploads/2024/01/Donatello_Telesca-01_resize.jpg
END:VEVENT
END:VCALENDAR