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UID:64353434-3462-4462-b166-396338376130
X-WR-CALNAME:Spatiotemporal Models and Inference (Seminar) Calendar
X-WR-CALDESC:Events of the lecture Spatiotemporal Models and Inference (Sem
 inar)
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
UID:66363336-6531-4239-a566-303036633338
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART;VALUE=DATE:20250924
DTEND;VALUE=DATE:20250925
SUMMARY:Block Seminar Day 1
END:VEVENT
BEGIN:VEVENT
UID:62333730-6463-4637-b961-303038353836
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250924T070000Z
DTEND:20250924T083000Z
SUMMARY:T1: Statistical Preliminaries
END:VEVENT
BEGIN:VEVENT
UID:66666337-3037-4162-b362-306666663832
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250924T084500Z
DTEND:20250924T101500Z
SUMMARY:T2: Temporal Processes
END:VEVENT
BEGIN:VEVENT
UID:64383239-3062-4363-a132-333036316561
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250924T113000Z
DTEND:20250924T130000Z
SUMMARY:T3: Spatial Processes
END:VEVENT
BEGIN:VEVENT
UID:32653937-3439-4230-b366-303933613634
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250925T070000Z
DTEND:20250925T083000Z
SUMMARY:T4: Gaussian Processes (Theory)
END:VEVENT
BEGIN:VEVENT
UID:36343737-3338-4631-b739-353261396334
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART;VALUE=DATE:20250925
DTEND;VALUE=DATE:20250926
SUMMARY:Block Seminar Day 2
END:VEVENT
BEGIN:VEVENT
UID:36383536-6531-4163-a433-633361623463
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250925T084500Z
DTEND:20250925T101500Z
SUMMARY:T5: Gaussian Processes (Coding Tutorial)
END:VEVENT
BEGIN:VEVENT
UID:63613136-3063-4263-a232-376535616534
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250925T113000Z
DTEND:20250925T130000Z
SUMMARY:T8: Bayesian Neural Fields
END:VEVENT
BEGIN:VEVENT
UID:36616631-6239-4138-a263-326163623035
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART;VALUE=DATE:20250926
DTEND;VALUE=DATE:20250927
SUMMARY:Block Seminar Day 3
END:VEVENT
BEGIN:VEVENT
UID:33326664-3637-4264-a363-396438616262
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250926T070000Z
DTEND:20250926T083000Z
SUMMARY:T9: Bayesian COVID-19
END:VEVENT
BEGIN:VEVENT
UID:64306635-3061-4438-b562-633562333734
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250926T084500Z
DTEND:20250926T101500Z
SUMMARY:T10: Spatial-temporal graph neural networks for groundwater data
END:VEVENT
BEGIN:VEVENT
UID:36303266-6636-4466-a430-653734636636
DTSTAMP:20261023T013843Z
DESCRIPTION:
DTSTART:20250926T113000Z
DTEND:20250926T130000Z
SUMMARY:T11: Birth Rates
END:VEVENT
END:VCALENDAR