Bayesian Networks

Discover the intriguing world of probability and inference with Bayesian Networks by Marco Scutari. Published in 2021, this comprehensive book spans 274 pages and serves as an essential guide for readers eager to understand Bayesian networks through well-crafted examples. Scutari expertly begins with discrete Bayesian networks before progressing into the complexities of Gaussian and mixed networks, ensuring a clear learning path. Each concept is supplemented with practical R code, empowering readers to apply their knowledge effectively. Ideal for both beginners and those looking to deepen their understanding, this book is a valuable addition to any mathematics enthusiast's library. Embrace the power of Bayesian methods and elevate your analytical skills with this insightful resource.