Bayesian A/B Decision Models

2025-03-21 分类：电子书 评论(0)

Bayesian A/B Decision Models

Bayesian A/B Decision Models

Author: J Christopher Westland (Author)

Publisher finelybook 出版社:‏ World Scientific Publishing‎

Edition 版本:‏ ‎ N/A

Publication Date 出版日期:‏ ‎ 2025-03-25

Language 语言: ‎ English

Print Length 页数: ‎ 256 pages

ISBN-10: ‎ 9819802032

ISBN-13: ‎ 9789819802036

Book Description

Bayesian A/B Decision Models encapsulates J Christopher Westland’s deep expertise in algorithmic decision-making, honed through years of experience in specialized fields like auditing and serving as an expert witness in computing damages for corporate and industrial legal cases. While traditional statistical methods provide valuable insights, they often fall short of capturing the complexities of real-world scenarios that require sophisticated decision-making. Enter the Bayesian A/B decision model — a powerful alternative that offers the flexibility and adaptability essential for navigating the intricate demands of consultancy and legal expert roles. Westland has found the versatility of Bayesian A/B models to be particularly transformative, enabling him to respond effectively to diverse and dynamic requests for detailed analytical reports. This approach allows for the delivery of precise financial analyses and outcomes that are highly tailored and often beyond the reach of traditional methods. In the high-stakes arenas of legal and corporate deliberations, where the accuracy and adaptability of statistical analysis can be the tipping point, this advantage has proven invaluable. In Bayesian A/B Decision Models, Westland extends the application of Bayesian A/B testing across a wide array of fields, including healthcare, marketing, and finance, as well as in more specialized sectors where traditional A/B testing and Frequentist approaches may be insufficient due to their limitations. The book features a comprehensive technical appendix with complete computer code for all examples discussed, offering readers practical tools that can be customized and implemented in their work. Whether you’re an experienced statistician, an emerging analyst, or a p

About the Author

J Christopher Westland is a distinguished professor in the Department of Information & Decision Sciences at the University of Illinois Chicago (UIC), with a career that bridges academia, industry, and global consultancy. With a BA in Statistics and an MBA in Accounting from Indiana University, followed by a PhD in Computers and Information Systems from the University of Michigan, Westland has a robust academic foundation. His diverse professional experience spans across continents as a certified public accountant and a technology law consultant, with expertise in the US, Europe, Latin America, and Asia. Westland is a prolific author, with seven scholarly books to his name, including Global Electronic Commerce (MIT Press 2000, 2010); Global Innovation Management (Palgrave Macmillan, 2008, 2nd ed. 2017); Red Wired: China’s Internet Revolution (Marshall Cavendish, 2010); Structural Equation Modeling (Springer 2015; 2nd ed. 2019); Financial Dynamics (Wiley 2003); Valuing Technology (Wiley 2002) and Audit Analytics (Springer 2020, 2nd ed. 2024), reflecting his deep knowledge in technology, innovation, and financial dynamics. His work has not only advanced academic discourse but also provided critical insights for industry professionals. As the Editor-in-Chief of Electronic Commerce Research (Springer) and has served on editorial boards of several other information technology journals including Management Science, ISR, ECRA, IJEC, and others, Westland has played a pivotal role in shaping the landscape of information technology research. He has held faculty positions at prestigious institutions including the University of Michigan, University of Southern California, Hong Kong University of Science and Technology, Tsinghua University, University of Science and Technology of China, Harbin Institute of Technology, and other leading academic institutions. Fluent in Mandarin, Westland’s global influence is further underscored by his recognition as a High-Level Foreign Expert in China under the 1000-Talents Plan in 2012, a testament to his expertise and contributions to the field. His career is a remarkable blend of scholarly excellence and practical impact, making him a leading figure in information and decision sciences.

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