Bayesian Networks Advances and Novel Applications
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...
Bewaard in:
| Andere auteurs: | |
|---|---|
| Formaat: | Elektronisch Hoofdstuk |
| Taal: | Engels |
| Gepubliceerd in: |
IntechOpen
2019
|
| Onderwerpen: | |
| Online toegang: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
| Samenvatting: | 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. |
|---|---|
| Fysieke beschrijving: | 1 electronic resource (136 p.) |
| ISBN: | intechopen.75254 9781839623233 9781839623226 9781839623240 |
| Toegang: | Open Access |