Benefits of Bayesian Network Models

Nonfiction, Science & Nature, Mathematics
Cover of the book Benefits of Bayesian Network Models by Philippe Weber, Christophe Simon, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Philippe Weber, Christophe Simon ISBN: 9781119347446
Publisher: Wiley Publication: August 23, 2016
Imprint: Wiley-ISTE Language: English
Author: Philippe Weber, Christophe Simon
ISBN: 9781119347446
Publisher: Wiley
Publication: August 23, 2016
Imprint: Wiley-ISTE
Language: English

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field.

Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but offers a general formalism for modeling problems under uncertainty.

This book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems.

Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field.

Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but offers a general formalism for modeling problems under uncertainty.

This book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems.

Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.

More books from Wiley

Cover of the book Advanced Wireless Communications and Internet by Philippe Weber, Christophe Simon
Cover of the book Flows and Chemical Reactions in Heterogeneous Mixtures by Philippe Weber, Christophe Simon
Cover of the book A Companion to Mediterranean History by Philippe Weber, Christophe Simon
Cover of the book A New Companion to Milton by Philippe Weber, Christophe Simon
Cover of the book Handbook of Human Factors and Ergonomics by Philippe Weber, Christophe Simon
Cover of the book Sustainable Urbanism by Philippe Weber, Christophe Simon
Cover of the book Green Chemistry for Environmental Remediation by Philippe Weber, Christophe Simon
Cover of the book Building the High-Trust Organization by Philippe Weber, Christophe Simon
Cover of the book CIO Best Practices by Philippe Weber, Christophe Simon
Cover of the book Experimental Micro/Nanoscale Thermal Transport by Philippe Weber, Christophe Simon
Cover of the book Modern Spectroscopy by Philippe Weber, Christophe Simon
Cover of the book Asymmetric Synthesis of Natural Products by Philippe Weber, Christophe Simon
Cover of the book Obst und Gemüse aus dem eigenen Garten für Dummies by Philippe Weber, Christophe Simon
Cover of the book Everywhere by Philippe Weber, Christophe Simon
Cover of the book Statistical Analysis of Designed Experiments by Philippe Weber, Christophe Simon
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy