Bayesian Networks Contributor(s): Pourret, Olivier (Editor), Na¿m, Patrick (Editor), Marcot, Bruce (Editor) |
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ISBN: 0470060301 ISBN-13: 9780470060308 Publisher: Wiley OUR PRICE: $135.80 Product Type: Hardcover - Other Formats Published: May 2008 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - Bayesian Analysis |
Dewey: 519.542 |
LCCN: 2007045556 |
Series: Statistics in Practice |
Physical Information: 1.16" H x 6.27" W x 9.07" (1.71 lbs) 446 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. 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 book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks. The book:
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. |