Joshua Chan Livres

This textbook on statistical modeling and inference is designed for advanced students. It offers a comprehensive introduction to modern Statistics from classical and Bayesian perspectives, covering probability theory, classical models like linear regression, and advanced models with a focus on computational techniques and applications.

The book presents Bayesian theory and its practical applications through a structured series of exercises, utilizing a question and answer format. This approach enables readers to engage actively with the material, reinforcing their understanding of Bayesian concepts and techniques.