Intro to Bayesian software using R

Mon, July 27, 2020 10:00 AM - Tue, July 28, 2020 11:00 AM at Zoom

Bayesian statistics is a powerful and flexible framework for parameter estimation and provides an alternative approach to maximum likelihood. In this workshop we will cover the basic theory of Bayesian statistics and approaches to applying this framework using R and other software. This is a two-session workshop. The first part will cover an intro into Bayesian theory and coding a basic model in JAGS (Just Another Gibbs Sampler). The second part of the series will focus on interpreting parameter estimates and model output. If time remains, there will be a brief introduction to other Bayesian software (Rstan, Nimble). You should leave the workshop with a basic understanding of Bayesian statistics and the coding required to run a model within this framework.

*Familiarity with R, indexing, and loops is necessary. Participants should have some formal training in statistics (Basic understanding of probability and an introduction to linear models [t-test, anova, etc.]).

• Time: 10A.M. - 11A.M., July 27 & 28, 2020 (Monday & Tuesday)
  
• Registration: RSVP by July 25, 2020 (Saturday)
• Zoom: Meeting ID: 980 3792 4810
  Password will be provided one day before the workshop to RSVP
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