{"id":8870,"date":"2022-05-04T07:45:45","date_gmt":"2022-05-04T07:45:45","guid":{"rendered":"https:\/\/www.digitalfutures.kth.se\/?p=8870"},"modified":"2022-05-04T07:45:45","modified_gmt":"2022-05-04T07:45:45","slug":"2-day-course-fundamentals-of-bayesian-inference-using-probabilistic-programming","status":"publish","type":"post","link":"https:\/\/wpmu-tris.sys.kth.se\/digitalfutures\/2022\/05\/04\/2-day-course-fundamentals-of-bayesian-inference-using-probabilistic-programming\/","title":{"rendered":"2-day course: Fundamentals of Bayesian Inference using Probabilistic Programming"},"content":{"rendered":"
\n

Welcome to the world of probabilistic programming and Bayesian inference! <\/strong><\/h2>\n

In this short course\/tutorial (2 x 3h) you will learn the fundamentals of Bayesian inference using a rather new paradigm called probabilistic programming. No prior knowledge of Bayesian theory is necessary.<\/p>\n

You will learn about the basic intuitions behind popular inference algorithms as well as how to design and write small models \/ probabilistic programs in popular probabilistic programming languages (for instance WebPPL and Stan).<\/p>\n

The tutorial will be highly interactive, where the course participants perform experiments using their own computers. We also recommend that you participate onsite (if possible) to make the interactive experience as good as possible, but we will also provide an option to participate online.<\/p>\n

Course dates:<\/strong>\u00a01 June 14.00-17.00 and 7 June 14.00-17.00 CEST (UTC+2)
\nCourse lecturer: <\/strong>Assoc. Prof. David Broman, KTH and Digital Futures<\/p>\n

Link to more information and registration<\/strong><\/a><\/p>\n

For questions please contact: David Broman<\/strong>, dbro@kth.se<\/a><\/p>\n

\n
\n
\n

This course is a collaboration between TECoSA and Digital Futures.<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Welcome to the world of probabilistic programming and Bayesian inference! In this short course\/tutorial (2 x 3h) […]<\/p>\n","protected":false},"author":46,"featured_media":8853,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-8870","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-category"],"yoast_head":"\n2-day course: Fundamentals of Bayesian Inference using Probabilistic Programming — Digital Futures<\/title>\n<meta name=\"description\" content=\"%\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"2-day course: Fundamentals of Bayesian Inference using Probabilistic Programming — Digital Futures\" \/>\n<meta property=\"og:description\" content=\"%\" \/>\n<meta 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