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PRODID:-//UniDistance - Fernuni/Events//
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TZID:Europe/Zurich
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DTSTART:20241027T010000
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TZOFFSETFROM:+0200
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DTSTART:20240331T010000
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BEGIN:VEVENT
UID:1266
DTSTART:20240416T110000
DTEND:20240416T120000
SUMMARY:Counterfactual Predictions in Shared Markets: A Global Forecas
 ting Approach with Deep Learning and Spillover Considerations
DESCRIPTION:We introduce a novel forecasting method employing global d
 eep learning models for estimating the causal effects of interventions
  across multiple units\, incorporating counterfactual and synthetic co
 ntrol for policy evaluation in shared markets.
LOCATION:En ligne\, 
DTSTAMP:20261103T192339Z
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