[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-965606","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n  \u003Cdiv class=\u0022row\u0022\u003E\n    \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n      \u003Ch2 class=\u0022h1 text-left\u0022\u003E  Statistique bay\u00e9sienne et variables latentes discr\u00e8tes\n\u003C\/h2\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n          2.5\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemestre calendaire :\n          Semester 1\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ED\u00e9tail du volume horaire\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ECours magistraux :\u003C\/span\u003E\n                                      \u003Cspan\u003E12\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                              \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ETravaux dirig\u00e9s :\u003C\/span\u003E\n                                      \u003Cspan\u003E15\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                                            \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EAnglais\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003Enon\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n    \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n                            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cul\u003E\n\u003Cli\u003EStatistique bay\u00e9sienne et Variables discr\u00e8tes latentes: Base conceptuelles de l\u2019inf\u00e9rence Bay\u00e9sienne, Choix de priors\u003C\/li\u003E\n\u003Cli\u003EComparaison de mod\u00e8les M\u00e9thodes Monte Carlo, Monte Carlo Markov Chain, langages de programmation probabilistes pour l\u2019inf\u00e9rence Bay\u00e9sienne (Stan, JAGS, Nimble); probabilit\u00e9s discr\u00e8te et continues, statistique param\u00e9trique \u0026amp; maximum de vraisemblance, optimisation sous contraintes : convexit\u00e9, contraintes d\u0027(in)\u00e9galit\u00e9s, lagrangien\u003C\/li\u003E\n\u003C\/ul\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EOrganisation g\u00e9n\u00e9rale et modalit\u00e9s p\u00e9dagogiques\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E12h CM+ 15 TD, 2.5 ECTS\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EBibliographie\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cul\u003E\n\u003Cli\u003EHoff, Peter D. \u003Cem\u003EA first course in Bayesian statistical methods\u003C\/em\u003E. Vol. 580. New York: Springer, 2009.\u003C\/li\u003E\n\u003Cli\u003EGelman, Andrew, et al. \u003Cem\u003EBayesian data analysis\u003C\/em\u003E. CRC press, 2013.\u0026nbsp;\u003C\/li\u003E\n\u003Cli\u003EJaynes, Edwin T. \u003Cem\u003EProbability theory: The logic of science\u003C\/em\u003E. Cambridge university press, 2003.\u003C\/li\u003E\n\u003Cli\u003EKruschke, John. \u0022Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan.\u0022 (2014).\u003C\/li\u003E\n\u003Cli\u003EMcGrayne, Sharon Bertsch. \u003Cem\u003EThe Theory That Would Not Die: How Bayes\u0027 Rule Cracked the Enigma Code, Hunted Down Russian Submarines, \u0026amp; Emerged Triumphant from Two Centuries of C\u003C\/em\u003E. Yale University Press, 2011.\u003C\/li\u003E\n\u003Cli\u003ERobert, Christian P. \u003Cem\u003EThe Bayesian choice: from decision-theoretic foundations to computational implementation\u003C\/em\u003E. Vol. 2. New York: Springer, 2007.\u003C\/li\u003E\n\u003Cli\u003EBernardo, Jos\u00e9 M., and Adrian FM Smith. \u003Cem\u003EBayesian theory\u003C\/em\u003E. Vol. 405. John Wiley \u0026amp; Sons, 2009.\u003C\/li\u003E\n\u003Cli\u003EGelman, Andrew, Jennifer Hill, and Aki Vehtari. \u003Cem\u003ERegression and other stories\u003C\/em\u003E. Cambridge University Press, 2020.\u003C\/li\u003E\n\u003Cli\u003EMcElreath, Richard. \u003Cem\u003EStatistical rethinking: A Bayesian course with examples in R and Stan\u003C\/em\u003E. CRC press, 2020.\u003C\/li\u003E\n\u003C\/ul\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]