Learn Bayesian Statistical Modeling with Stan, R, and Python

This comprehensive guide will teach you how to apply Bayesian statistical modeling techniques using Stan, R, and Python. The book covers topics such as Markov Chain Monte Carlo (MCMC), prior and posterior distributions, model comparison, and more. With clear explanations and practical examples, you'll learn how to use these powerful tools to solve real-world problems.