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X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20251205T110000
DTEND;TZID=Asia/Seoul:20251205T120000
DTSTAMP:20260501T152738
CREATED:20250826T005255Z
LAST-MODIFIED:20250826T005331Z
UID:11476-1764932400-1764936000@www.ibs.re.kr
SUMMARY:Empirical modeling of bifurcations and chaos from time series - Stephan Munch
DESCRIPTION:Abstract \nMany natural systems exhibit complex dynamics and are prone to sudden changes or ‘regime shifts’. At the same time\, many of these systems are sparsely observed posing considerable challenges for modeling and control. Here I will describe recent developments in empirical dynamic modeling (EDM) for inference of bifurcations and anticipation of unseen dynamical regimes from ecological time series.
URL:https://www.ibs.re.kr/bimag/event/empirical-modeling-of-bifurcations-and-chaos-from-time-series-stephan-munch/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2025/08/head2-e1756169564670.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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