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

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Authors : Mealli, Fabrizia (Author of the conference)
CIRM (Publisher )

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Abstract :
MSC Codes :

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 27/11/2023
    Conference Date : 02/11/2023
    Subseries : Research School
    arXiv category : Methodology
    Mathematical Area(s) : Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 00:53:14
    Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
    Download : https://videos.cirm-math.fr/2023-11-02_Mealli.mp4

Information on the Event

Event Title : Autumn school in Bayesian Statistics / École d'automne en statistique bayésienne
Event Organizers : Arbel, Julyan ; Etienne, Marie-Pierre ; Filippi, Sarah ; Kon Kam King, Guillaume ; Ryder, Robin ; Ancelet, Sophie ; Bardenet, Rémi ; Bonnet, Anna ; Jacob, Pierre
Dates : 30/10/2023 - 03/11/2023
Event Year : 2023
Event URL : https://conferences.cirm-math.fr/2881.html

Citation Data

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

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