Bayesian causal inference: a potential outcome perspective with applications to intermediate variables
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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : 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 bayésienneEvent 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.20107503Cite 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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