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Bayesian modelling

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Post-edited
Authors : Mengersen, Kerrie (Author of the conference)
CIRM (Publisher )

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Bayes' theorem binomial model normal model hierarchical models Bayesian priors Bayesian model comparison mixture models spatial models

Abstract : This tutorial will be a beginner's introduction to Bayesian statistical modelling and analysis. Simple models and computational tools will be described, followed by a discussion about implementing these approaches in practice. A range of case studies will be presented and possible solutions proposed, followed by an open discussion about other ways that these problems could be tackled.

Keywords : Bayesian models; hierarchical model; prior distribution; choice models; model comparison

MSC Codes :
62C10 - Bayesian problems; characterization of Bayes procedures
62F15 - Bayesian inference
62P10 - Applications of statistics to biology and medical sciences
62P12 - Applications of statistics to environnemental and related topics

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 29/10/2018
    Conference Date : 22/10/2018
    Subseries : Research School
    arXiv category : Statistics Theory
    Mathematical Area(s) : Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 01:50:38
    Targeted Audience : Researchers ; Graduate Students
    Download : https://videos.cirm-math.fr/2018-10-22_Kerrie.mp4

Information on the Event

Event Title : Jean-Morlet chair: Masterclass in Bayesian statistics / Chaire Jean-Morlet : École de statistique bayésienne
Event Organizers : Chopin, Nicolas ; Mengersen, Kerrie ; Pommeret, Denys ; Pudlo, Pierre ; Robert, Christian P. ; Ryder, Robin
Dates : 22/10/2018 - 26/10/2018
Event Year : 2018
Event URL : https://www.chairejeanmorlet.com/1854.html

Citation Data

DOI : 10.24350/CIRM.V.19467903
Cite this video as: Mengersen, Kerrie (2018). Bayesian modelling. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19467903
URI : http://dx.doi.org/10.24350/CIRM.V.19467903

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