eBook [PDF] Bayesian Inference Theory Methods Computations BY Silvelyn Zwanzig Rauf Ahmad
eBook [PDF] Bayesian Inference Theory Methods Computations BY Silvelyn Zwanzig Rauf Ahmad
Bayesian Inference: Theory, Meth
...
eBook [PDF] Bayesian Inference Theory Methods Computations BY Silvelyn Zwanzig Rauf Ahmad
eBook [PDF] Bayesian Inference Theory Methods Computations BY Silvelyn Zwanzig Rauf Ahmad
Bayesian Inference: Theory, Methods, Computations is a comprehensive graduate-level textbook authored by Silvelyn Zwanzig and Rauf Ahmad, published by Chapman & Hall / CRC Press. Derived from Master's and PhD courses taught by the authors at Uppsala University, the book spans roughly 300 pages and balances mathematical rigor with modern data science implementations.
Key Structural Focus
• Rigorous Foundations: Presents core results through formal mathematical theorems, corollaries, and lemmas alongside complete proofs.
• Core Bayesian Themes: Deep dives into decision-theoretic motivations, prior specification, normal linear models, and asymptotic validation.
• Exact vs. Approximate: Validates exact historical cases before transitioning into modern approximate computational boundaries.
• Built-in Practice: Includes an extensive collection of practice exercises accompanied by full solutions directly inside the text.
Computational Techniques Covered
A major feature of this text is its dedicated focus on modern, computer-intensive methods, complete with pseudocode, algorithmic workflows, and inline R programming code blocks.
• Monte Carlo (MC) methods
• Markov Chain Monte Carlo (MCMC) algorithms (including Gibbs samplers)
• Approximate Bayesian Computation (ABC)
• Variational Bayes (VB) inference modeling
• Hardcover: 978-1032109497 (ISBN-10: 1032109491)
• Paperback: 978-1032118093 (ISBN-10: 1032118091)
• Digital / eTextbook: 978-1040086032 ISBN-10: 1040086039
978-1003221623
978-1040086025
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