Unlock the world of Probability and Bayesian Modeling with this essential introduction from The Bookish Owl, perfect for undergraduates with a calculus background. This comprehensive text offers a deep dive into probability fundamentals, including conditional probability and various discrete and continuous distributions. Experience statistical inference through a purely Bayesian lens, covering single proportion and single mean inference for Normal sampling. Master advanced concepts with introductions to Markov Chain Monte Carlo algorithms, hierarchical and regression models, and logistic regression. Explore real-world applications through fascinating case studies, drawing from historical Bayesian research and the authors’ own work. Elevate your statistical understanding with this foundational resource.