Bayesian Modeling and Computation in Python

Discover the world of Bayesian statistics with "Bayesian Modeling and Computation in Python" by Osvaldo Martin. Published by Taylor & Francis Ltd in 2021, this comprehensive hardback spans 398 pages and is designed to elevate beginner Bayesian practitioners to intermediate modelers. Through a hands-on approach, this book utilizes popular libraries such as PyMC3, TensorFlow Probability, and ArviZ, allowing readers to engage with applied statistics practically while grounding their understanding in the essential mathematical theory. Whether you are looking to enhance your statistical modeling skills or dive deeper into Bayesian computation, this book serves as an invaluable resource for your journey. Perfect for students and professionals alike, it provides the tools and knowledge necessary to navigate the complexities of Bayesian analysis with confidence.