Think Bayes: Bayesian Statistics in Python - Allen B. Downey - książka wyd. 2021

Opis

Published by O’Reilly Media in 2013, the book is part of Downey’s popular Think series, which emphasizes practical programming as a way to understand complex concepts. In this volume, Downey uses Python to teach Bayesian methods, showing how probability theory can be applied to real-world problems through coding and simulation.

The book begins with the foundations of Bayesian thinking, introducing priors, likelihoods, and posteriors in a way that is intuitive and accessible. It then moves into practical applications, including problems in decision-making, hypothesis testing, and predictive modeling. Each chapter is built around examples and exercises, encouraging readers to write Python code that brings Bayesian concepts to life.