BIBFRAME Work

Title

Bayesian A/B decision models

Type

  • Text
  • Monograph

Contribution

Subject

Language

Illustrative Content

Classification

Content

Supplementary content

Summary

"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. For those interested in a digital format or who want to engage directly with the code, all resources are available on Westland's GitHub page at https://github.com/westland/BayesAB. Whether you're an experienced statistician, an emerging analyst, or a professional exploring the potential of Bayesian A/B testing, this book provides a thorough overview and detailed applications that highlight the unique benefits of this innovative statistical approach"-- Provided by publisher.

Authorized Access Point

Westland, J. Christopher. Bayesian A/B decision models

Admin Metadata

  • Date: 2026-09-11T20:17:05.194984+00:00
  • Agent: cbc
  • Status: c
  • Derived from: 23901997

Admin Metadata

  • Date: 2026-09-11
  • Cataloger id: Unknown
  • Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
  • Description language: eng
  • Description authentication: pcc

Alternative Formats

Blue Core Actions

  • Load to Marva Marva loads Instances, not Works. Open one of this Work's Instances and load that into Marva instead.
  • Load to Sinopia
  • Export to Catalog Only Instances can be exported. Open one of this Work's Instances and export that instead.