This workshop will provide a hands-on overview of the Bayesian approach to statistical inference. Topics will include the foundations of Bayesian modeling, choice of prior distribution, Monte Carlo simulation, and practical implementation.Examples will be done with the JASP software program (https://jasp-stats.org) and R code will also be provided. Participants who would like to follow along with the examples should download JASP prior to the workshop.
Introduction to Bayesian Statistical Modeling
Files for this workshop are available in Box.
Access FilesA video of this workshop is available at Cornell’s Video on Demand site.
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