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September 10, 2025

Bayesian inference: theory, methods, computations by Silvelyn Zwanzig and Rauf Ahmad, Chapman & Hall/CRC, 2024, ISBN: 9781003221623, https://www.routledge.com/Bayesian-Inference-Theory-Methods-Computations/Zwanzig-Ahmad/p/book/9781032118093

Key Points

Bayesian inference enhances statistical modeling, offering new insights into data analysis and theory.
The article presents key methods and computations that improve biostatistical approaches using bayesian inference.
Assessment of bayesian methods across various biostatistical frameworks reveals significant advancements in statistical computation.
Findings suggest that bayesian inference methods could lead to better decision-making in data analysis and biostatistics.

Abstract

Journal Article Bayesian inference: theory, methods, computations by Silvelyn Zwanzig and Rauf Ahmad, Chapman & Hall/CRC, 2024, ISBN: 9781003221623, https://www.routledge.com/Bayesian-Inference-Theory-Methods-Computations/Zwanzig-Ahmad/p/book/9781032118093 Get access Kenneth Rice Kenneth Rice Department of Biostatistics, University of Washington, Seattle, WA 98195-1617, United States Corresponding author: Kenneth Rice, Department of Biostatistics, University of Washington, Seattle WA 98195-1617, United States (email protected) https://orcid.org/0000-0002-3071-7278 Search for other works by this author on: Oxford Academic Google Scholar Biometrics, ujaf109, https://doi.org/10.1093/biomtc/ujaf109 Published: 29 August 2025 Article history Received: 03 July 2025 Accepted: 24 July 2025 Published: 29 August 2025

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