Open access peer-reviewed Edited Volume

Bayesian Networks - Advances and Novel Applications

Book metrics overview

10,852 Chapter Downloads

View Full Metrics

Academic Editor

Douglas McNair
Douglas McNair

Bill & Melinda Gates Foundation,
United States of America

Published06 November 2019

Doi10.5772/intechopen.75254

ISBN978-1-83962-323-3

Print ISBN978-1-83962-322-6

eBook (PDF) ISBN978-1-83962-324-0

Copyright year2019

Number of pages136

Read more
Order Print Copy

Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
Show more

Table of Contents

Open access  chapters

2. An Economic Growth Model Using Hierarchical Bayesian Method

By Nur Iriawan and Septia Devi Prihastuti Yasmirullah

1,180
3. Bayesian Networks for Decision-Making and Causal Analysis under Uncertainty in Aviation

By Rosa Maria Arnaldo Valdés, V. Fernando Gómez Comendador, Alvaro Rodriguez Sanz, Eduardo Sanchez Ayra, Javier Alberto Pérez Castán and Luis Perez Sanz

1,555
1
4. Using Bayesian Networks for Risk Assessment in Healthcare System

By Bouchra Zoullouti, Mustapha Amghar and Sbiti Nawal

1,688
4
5. Continuous Learning of the Structure of Bayesian Networks: A Mapping Study

By Luiz Antonio Pereira Silva, João Batista Nunes Bezerra, Mirko Barbosa Perkusich, Kyller Costa Gorgônio, Hyggo Oliveira de Almeida and Angelo Perkusich

1,286
1
6. Multimodal Bayesian Network for Artificial Perception

By Diego R. Faria, Cristiano Premebida, Luis J. Manso, Eduardo P. Ribeiro and Pedro Núñez

1,779

IMPACT OF THIS BOOK AND ITS CHAPTERS

10,852 Total Chapter Downloads

9 Crossref Citations

2 Web of Science Citations

19 Dimensions Citations

10 Altmetric Score

Order a print copy of this book

£119 (ex. VAT)*

Hardcover | Printed Full Colour

IntechOpen Contributor? Get your Discount

FREE SHIPPING WORLDWIDE

Order & Delivery info

* Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Instructor? Request an Exam Copy