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BEGIN:VEVENT
UID:27@lincs.fr
DTSTART;TZID=Europe/Paris:20161206T140000
DTEND;TZID=Europe/Paris:20161206T150000
DTSTAMP:20170313T170807Z
URL:https://www.lincs.fr/events/granger-causality-networks-causal-inferenc
 e-for-time-series-data/
SUMMARY:Granger Causality Networks: Causal Inference for Time Series Data
DESCRIPTION:Identifying causal (rather than
 merely\ncorrelative)relationships in physical systems is a difficult
 task\,\nparticularly ifit is not feasible to perform controlled
 experiments.\nGranger'snotion of causality was developed first in economics
 beginning\nin the1960s and can be used to form a network of
 "plausible\ncausalrelations" given only the opportunity to observe the
 system.\nThismethod is applied\, for example\, in neuro-imaging
 to\nidentifyrelationships amongst brain regions\, and in biostatistics
 to\nexploregene regulatory networks. In this talk\, we provide an
 overview\nof thenotion of Granger Causality\, some methods for
 learning\nGrangerCausality Networks in practice\, and our current
 directions\nforresearch.
CATEGORIES:Seminars
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23\, avenue d'Italie\,
 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS Meeting Room
 40:geo:48.8283983,2.3568972000000485
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20161030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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