Bayesian Networks

Bayesian networks (BN) have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis and assets and liabilities management, AI and robotics, transportation systems planning and optimization, political science analytics, law and forensic s...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
स्वरूप: Online
भाषा:अंग्रेज़ी
प्रकाशित: IntechOpen 2021
विषय:
ऑनलाइन पहुंच:ONIX_20210420_9781839623233_2420
टैग: टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
_version_ 1869530751319408640
collection Directory of Open Access Books
description Bayesian networks (BN) have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis and assets and liabilities management, AI and robotics, transportation systems planning and optimization, political science analytics, law and forensic science assessment of agency and culpability, pharmacology and pharmacogenomics, systems biology and metabolomics, psychology, and policy-making and social programs evaluation. This strong and varied response results not least from the fact that plausibilistic Bayesian models of structures and processes can be robust and stable representations of causal relationships. Additionally, BNs' amenability to incremental or longitudinal improvement through incorporating new data affords extra advantages compared to traditional frequentist statistical methods. Contributors to this volume elucidate various new developments in these aspects of BNs.
format Online
id doab-20.500.12854ir-67061
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher IntechOpen
publisherStr IntechOpen
record_format ojs
spelling doab-20.500.12854ir-670612024-04-04T14:41:20Z Bayesian Networks McNair, Douglas Mathematical modelling thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics Bayesian networks (BN) have recently experienced increased interest and diverse applications in numerous areas, including economics, risk analysis and assets and liabilities management, AI and robotics, transportation systems planning and optimization, political science analytics, law and forensic science assessment of agency and culpability, pharmacology and pharmacogenomics, systems biology and metabolomics, psychology, and policy-making and social programs evaluation. This strong and varied response results not least from the fact that plausibilistic Bayesian models of structures and processes can be robust and stable representations of causal relationships. Additionally, BNs' amenability to incremental or longitudinal improvement through incorporating new data affords extra advantages compared to traditional frequentist statistical methods. Contributors to this volume elucidate various new developments in these aspects of BNs. 2021-04-20T16:02:01Z 2021-04-20T16:02:01Z 2019 book ONIX_20210420_9781839623233_2420 9781839623233 9781839623226 9781839623240 https://directory.doabooks.org/handle/20.500.12854/67061 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/7372/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.75254 10.5772/intechopen.75254 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781839623233 9781839623226 9781839623240 IntechOpen 136 open access
spellingShingle Mathematical modelling
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Bayesian Networks
title Bayesian Networks
title_full Bayesian Networks
title_fullStr Bayesian Networks
title_full_unstemmed Bayesian Networks
title_short Bayesian Networks
title_sort bayesian networks
topic Mathematical modelling
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet Mathematical modelling
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url ONIX_20210420_9781839623233_2420