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#14: Webinar: Introduction to Bayesian Data Analysis and Stan

  • Oct 25, 2016 · 11:00 AM

This event is a Webinar. Please register here:

During this event, Andrew Gelman will discuss Bayes and Stan.

Here is the Abstract:

Stan is a free and open-source probabilistic programming language and Bayesian inference engine. In this talk, we will demonstrate the use of Stan for some small problems in sports ranking, nonlinear regression, mixture modeling, and decision analysis, to illustrate the general idea that Bayesian data analysis involves model building, model fitting, and model checking. One of our major motivations in building Stan is to efficiently fit complex models to data, and Stan has indeed been used for this purpose in social, biological, and physical sciences, engineering, and business. The purpose of the present webinar is to demonstrate using simple examples how one can directly specify and fit models in Stan and make logical decisions under uncertainty. 

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  • Sandy

    where is the code?

    December 15

  • Philipp

    Many thanks for this interesting talk!

    October 26

  • Stephan S.

    Thanks very much for this insightful talk. Will you share slides&Code?

    October 25

  • Román A.

    There is a link to see the webinar?

    October 25

  • Avraham A.

    Last day of Sukkos, so no can do 🙁

    1 · October 19

  • Manu

    This webinar is a great opportunity for remote people ;)

    1 · October 5

    • Eric N.

      We are planning to do more of these in the future, so stay tuned.

      4 · October 5

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