Bayesian Networks:
A Practical Guide to Applications
edited by
Olivier Pourret,
Patrick Naїm,
Bruce Marcot
Book Description
This book
provides a general introduction to Bayesian networks, defining and
illustrating the basic concepts with pedagogical examples and twenty
real-life case studies drawn from a range of fields including medicine,
computing, natural sciences and engineering. Designed to help analysts,
engineers, scientists and professionals taking part in complex decision
processes to successfully implement Bayesian networks, this title equips
readers with proven methods to generate, calibrate, evaluate and validate
Bayesian networks.
Written by leading experts with practical experience of
applying Bayesian networks in finance, banking, medicine, robotics, civil
engineering, geology, geography, genetics, forensic science, ecology, and
industry, the book has much to offer both practitioners and researchers involved
in statistical analysis or modelling in any of these fields.
Topics Covered Include:
Available
through Wiley Publishers