Welcome to the Reflections and Ideas section
This section will feature two types of posts: insights into the models from my published work that hopefully provide helpful context beyond the manuscripts, and broader thoughts on Bayesian statistics, often involvinghuman biological data to study health outcomes and disease mechanisms.
"Where Do I Start?” A Beginner’s Roadmap to Bayesian Statistics
New to Bayesian Statistics? Here’s Your Roadmap to Get Started
Bayesian statistics can be intimidating, especially if you’re coming from a traditional stats background. When I first started, I had no clue where to begin—so I’ve put together a beginner-friendly roadmap to help you dive into the world of Bayes.
From learning to code (R, Python, or Julia) to understanding probability theory, MCMC, and posterior distributions, this guide will get you on the right track. I’ve also highlighted Richard McElreath’s Statistical Rethinking and the use of STAN for building flexible, custom models.
#BayesianStatistics #DataScience #StatisticalModeling #RStats #STAN #StatisticalRethinking