Bayesian Inference
With growing interest in data mining and its merits, including the incorporation of historical or experiential information into statistical analysis, Bayesian inference has become an important tool for analyzing complicated data and solving inverse problems in various fields such as artificial intel...
I tiakina i:
| Hōputu: | Online |
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| Reo: | Ingarihi |
| I whakaputaina: |
IntechOpen
2023
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20230215_9781803560458_272 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869522051804430336 |
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| collection | Directory of Open Access Books |
| description | With growing interest in data mining and its merits, including the incorporation of historical or experiential information into statistical analysis, Bayesian inference has become an important tool for analyzing complicated data and solving inverse problems in various fields such as artificial intelligence. This book introduces recent developments in Bayesian inference, and covers a variety of topics including robust Bayesian estimation, solving inverse problems via Bayesian theories, hierarchical Bayesian inference, and its applications for scattering experiments. We hope that this book will stimulate more extensive research on Bayesian fronts to include theories, methods, computational algorithms and applications in various fields such as data science, AI, machine learning, and causality analysis. |
| format | Online |
| id | doab-20.500.12854ir-97233 |
| 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-972332024-04-14T10:28:13Z Bayesian Inference Tang, Niansheng Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation With growing interest in data mining and its merits, including the incorporation of historical or experiential information into statistical analysis, Bayesian inference has become an important tool for analyzing complicated data and solving inverse problems in various fields such as artificial intelligence. This book introduces recent developments in Bayesian inference, and covers a variety of topics including robust Bayesian estimation, solving inverse problems via Bayesian theories, hierarchical Bayesian inference, and its applications for scattering experiments. We hope that this book will stimulate more extensive research on Bayesian fronts to include theories, methods, computational algorithms and applications in various fields such as data science, AI, machine learning, and causality analysis. 2023-02-15T14:51:28Z 2023-02-15T14:51:28Z 2022 book ONIX_20230215_9781803560458_272 9781803560458 9781803560441 9781803560465 https://directory.doabooks.org/handle/20.500.12854/97233 eng image/jpeg n/a https://www.intechopen.com/books/11152 https://mts.intechopen.com/storage/books/11152/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.97942 10.5772/intechopen.97942 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781803560458 9781803560441 9781803560465 IntechOpen 126 open access |
| spellingShingle | Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation Bayesian Inference |
| title | Bayesian Inference |
| title_full | Bayesian Inference |
| title_fullStr | Bayesian Inference |
| title_full_unstemmed | Bayesian Inference |
| title_short | Bayesian Inference |
| title_sort | bayesian inference |
| topic | Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| topic_facet | Computer science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation |
| url | ONIX_20230215_9781803560458_272 |