Bayesian Statistical Methods: With Applications to Machine Learning

This book provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, it is more focused on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models.

• | Author: Brian J. Reich, Sujit K. Ghosh
• | Publisher: Taylor & Francis Ltd
• | Publication Date: Feb 02, 2026
• | Number of Pages:
• | Language:
• | Binding: Hardback
• | ISBN-13: 9781032486321
• | ISBN-10: 1032486325