Unlock the power of Bayesian statistics with “BAYESIAN METHODS IN STATISTICS” from The Bookish Owl. This essential guide offers a clear, practical introduction to probability and statistical modeling from a Bayesian perspective. You’ll master core concepts, from fundamental probability theory to applying Bayes’ Theorem in real-world social and psychological data analysis. Gain hands-on experience with statistical coding in Stan and R, and explore advanced Markov Chain Monte Carlo (MCMC) methods for computer simulations. This book demystifies Bayesian approaches, comparing them to classical methods, and provides chapter introductions, summaries, and accessible online resources with examples for self-paced learning. Ideal for those with a foundation in math, it equips you to confidently perform Bayesian statistics.