New Insights into Bayesian Inference
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...
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| Formaat: | Online |
|---|---|
| Taal: | Engels |
| Gepubliceerd in: |
IntechOpen
2023
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| Onderwerpen: | |
| Online toegang: | ONIX_20231201_9781789230932_1550 |
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| _version_ | 1869529107129171968 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-130441 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1304412024-04-04T14:41:20Z New Insights into Bayesian Inference Saber Fallah Nezhad, Mohammad sensitivity analysis, parameter estimation, hepatitis, machine-learning, rna-seq thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics 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. 2023-12-01T17:35:41Z 2023-12-01T17:35:41Z 2018 book ONIX_20231201_9781789230932_1550 9781789230932 9781789230925 9781838814748 https://directory.doabooks.org/handle/20.500.12854/130441 eng image/jpeg n/a https://www.intechopen.com/books/6444 https://mts.intechopen.com/storage/books/6444/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.70722 10.5772/intechopen.70722 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781789230932 9781789230925 9781838814748 IntechOpen 140 open access |
| spellingShingle | sensitivity analysis, parameter estimation, hepatitis, machine-learning, rna-seq thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics New Insights into Bayesian Inference |
| title | New Insights into Bayesian Inference |
| title_full | New Insights into Bayesian Inference |
| title_fullStr | New Insights into Bayesian Inference |
| title_full_unstemmed | New Insights into Bayesian Inference |
| title_short | New Insights into Bayesian Inference |
| title_sort | new insights into bayesian inference |
| topic | sensitivity analysis, parameter estimation, hepatitis, machine-learning, rna-seq thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| topic_facet | sensitivity analysis, parameter estimation, hepatitis, machine-learning, rna-seq thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics |
| url | ONIX_20231201_9781789230932_1550 |