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Bayesian Data Analysis (BADA02)

ONLINE COURSE ? Bayesian Data Analysis (BADA02)

https://www.prstatistics.com/course/bayesian-data-analysis-bada02/

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COURSE DETAILS

Bayesian methods are now increasingly widely used in data analysis across
most scientific research fields. Given that Bayesian methods differ
conceptually and theoretically from their classical statistical
counterparts that are traditionally taught in statistics courses, many
researchers do not have opportunities to learn the fundamentals of Bayesian
methods, which makes using Bayesian data analysis in practice more
challenging. The aim of this course is to provide a solid introduction to
Bayesian methods, both theoretically and practically. We will begin by
teaching the fundamental concepts of Bayesian inference and Bayesian
modelling, including how Bayesian methods differ from their classical
statistics counterparts, and show how to do Bayesian data analysis in
practice in R. We then provide a solid introduction to Bayesian approaches
to these topics using R and the brms package. We begin by covering Bayesian
approaches to linear regression. We will then proceed to Bayesian
approaches to generalized linear models, including binary logistic
regression, ordinal logistic regression, Poisson regression, zero-inflated
models, etc. Finally, we will cover Bayesian approaches to multilevel and
mixed effects models. Throughout this course, we will be using, via the
brms package, Stan based Markov Chain Monte Carlo (MCMC) methods.

Email oliverhooker at prstatistics.com