Introduction to Bayesian statistics
This workshop will provide an introduction to basic concepts in Bayesian inference. Topics that will be covered include estimation and hypothesis testing under the Bayesian paradigm, prior specification as well as an introduction to Bayesian computation. The workshop will include hands on examples of parametric inference in R using R-packages that rely on Stan (rstanarm and brms).
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At the end of this workshops participants will be able to:
> Specify simple Bayesian models (including priors);
> Make Bayesian inference in single parameter models;
> Fit linear and generalized linear models using rstanarm or brms.
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Pre-requisites:听basic knowledge of R and basic knowledge of probability theory and statistics (e.g. an Intro to probability or Intro to stats undergrad course).
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*Note the day and time differ from our usual statistics workshops.
Date:听Thursday, March 31, 2022
Time:听3PM to 5PM
Location:听听room BH511, inside the Geographic Information Center.
Instructor:听, Dept. of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, 苹果淫院.
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If you'd like to know when registration will open for future workshops, you can听sign up for our mailing list.