
Objective Bayesian Inference
Objective Bayesian Inference is a book about objective Bayesian methods, their history, and their use in statistical practice. It introduces the subject for non-statisticians while also developing the reference prior approach and practical methodology for statisticians and scientists.
At a glance
- Introduces objective Bayesian inference without requiring prior exposure to Bayesian analysis, according to the listing.
- Discusses the history of objective Bayesian analysis and its relationship to other statistical approaches.
- Develops the reference prior approach and presents practical methodology for statisticians and scientists.
Reference price: $148.00
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- The stated scope serves both readers seeking an accessible introduction and those looking for methodological or practical treatment.
- Connects historical context, statistical philosophy, reference priors, and applications in one volume.
Technical specifications
8 specifications| Publisher | World Scientific Pub Co Inc |
|---|---|
| Publication date | March 26, 2024 |
| Language | English |
| Print length | 380 pages |
| ISBN-10 | 9811284903 |
| ISBN-13 | 978-9811284908 |
| Weight listed | 1.7 pounds |
|---|---|
| Dimensions | 7 x 1 x 9.75 inches |
Who is it for?
A good fit for
- Readers new to Bayesian analysis who want an introduction to objective Bayesian inference.
- Readers interested in statistical philosophy and the history of inference.
- Statisticians and scientists seeking a discussion of reference priors and practical objective Bayesian methods.
Customer reviews on Amazon
- 5 stars
63% 63% - 4 stars
0% 0% - 3 stars
37% 37% - 2 stars
0% 0% - 1 star
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The supplied evidence contains aggregate ratings but no customer-comment summary. The small rating sample is mostly five-star, with the remaining ratings in the three-star category. That is limited evidence of reader sentiment and does not establish which aspects of the book readers liked or disliked.
Frequently asked questions
Does the book assume prior knowledge of Bayesian analysis?
The listing says it introduces objective Bayesian inference for non-statisticians and requires no previous exposure to Bayesian analysis.
What approach does the book develop?
It presents the reference prior approach as its recommended objective Bayesian methodology.
Who is the book intended for?
The stated audiences include newcomers, readers interested in the philosophy of learning from data, and statisticians and scientists interested in practical methods.
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