Handbook of Approximate Bayesian Computation

Discover the fascinating world of Bayesian modelling with the Handbook of Approximate Bayesian Computation by Scott A. Sisson. Published in 2018 by Taylor & Francis Inc, this comprehensive hardback edition spans 662 pages, making it an invaluable resource for both seasoned experts and newcomers to the field.

This essential reference book delves into the intricacies of Bayesian statistical decision theory, offering illuminating insights into the implementation of Approximate Bayesian Computation (ABC) techniques. Whether you are looking to analyze complex models or seeking to enhance your understanding of modern statistical methods, this handbook serves as a vital guide. Equip yourself with the knowledge to tackle intractable models and elevate your analytical skills in the ever-evolving landscape of data science.