New Insights into Bayesian Inference
Overview & Synopsis
This book is an introduction to the mathematical analysis of Bayesian decision-making when the state of the problem is unknown but further data about it can be obtained. The objective of such analysis is to determine the optimal decision or solution that is logically consistent with the preferences of the decision-maker, that can be analyzed using numerical utilities or criteria with the probabilities assigned to the possible state of the problem, such that these probabilities are updated by gathering new information.
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Document Information
| Document Title | New Insights into Bayesian Inference |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | sensitivity analysis, parameter estimation, hepatitis, machine-learning, rna-seq |
| Categories | Open Access Books |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-163355 |
| Original Source Link | Visit Source Page on www.doabooks.org » |