Bayesian Networks - Advances and Novel Applications

Edited by Douglas McNair

in Books from IntechOpen

Abstract: 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.

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2019
ISBN: 978-1-83962-322-6
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Chapters in this book:

An Economic Growth Model Using Hierarchical Bayesian Method

Nur Iriawan and Septia Devi Prihastuti Yasmirullah

Bayesian Graphical Model Application for Monetary Policy and Macroeconomic Performance in Nigeria

David Olayungbo

Bayesian Networks for Decision-Making and Causal Analysis under Uncertainty in Aviation

Rosa Arnaldo, Victor Fernando Gomez Comendador, Alvaro Rodriguez Sanz, Eduardo Sanchez Ayra, Javier Alberto Perez Castan and Luis Perez Sanz

Continuous Learning of the Structure of Bayesian Networks: A Mapping Study

Luiz Antonio Silva, Joao Nunes, Mirko Perkusich, Kyller Gorgonio, Hyggo Almeida and Angelo Perkusich

Introductory Chapter: Timeliness of Advantages of Bayesian Networks

Douglas McNair

Multimodal Bayesian Network for Artificial Perception

Diego Faria, Cristiano Premebida, Luis Manso, Eduardo Parente Ribeiro and Pedro Nunez

Quantitative Structure-Activity Relationship Modeling and Bayesian Networks: Optimality of Naive Bayes Model

Oleg Kupervasser

Using Bayesian Networks for Risk Assessment in Healthcare System

Bouchra Zoullouti, Mustapha Amghar and Nawal Sbiti

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:5892

DOI: 10.5772/intechopen.75254

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