Bridging statistics and philosophy, this book explores the core concepts of various statistical methodologies, including Bayesian and frequentist approaches, model selection, machine learning, and causal inference. It examines the philosophical implications of these methods, offering insights into how statistical practices intersect with philosophical thought. This unique perspective enriches the understanding of both disciplines, making it a valuable resource for those interested in the theoretical underpinnings of statistical analysis.
