Autumn school in Bayesian Statistics / École d'automne en statistique bayésienne

Collection Autumn school in Bayesian Statistics / École d'automne en statistique bayésienne

Organizer(s) Arbel, Julyan ; Etienne, Marie-Pierre ; Filippi, Sarah ; Kon Kam King, Guillaume ; Ryder, Robin ; Ancelet, Sophie ; Bardenet, Rémi ; Bonnet, Anna ; Jacob, Pierre

Date(s) 30/10/2023 - 03/11/2023

linked URL https://conferences.cirm-math.fr/2881.html

00:00:00 / 00:00:00

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Bayesian causal inference: a potential outcome perspective with applications to intermediate variables

By Fabrizia Mealli

Information about the video

Date of recording 02/11/2023
Date of publication 27/11/2023
Institution CIRM
Licence CC BY NC ND
Language English
Audience Researchers, Graduate Students
Director(s) Guillaume Hennenfent
Format MP4

Citation data

DOI 10.24350/CIRM.V.20107503
Cite this video Mealli, Fabrizia (02/11/2023). Bayesian causal inference: a potential outcome perspective with applications to intermediate variables. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.20107503
URL https://dx.doi.org/10.24350/CIRM.V.20107503

Domain(s)

Methodology

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