This isn't shipping yet, but I suspect the topic will be of interest to some of us.
<http://newsletter.directionsmag.com/link.php?M=34081&N=479&L=19429> Bayesian Networks: A Practical Guide to Applications<http://newsletter.directionsmag.com/link.php?M=34081&N=479&L=19429> 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. From Wiley, 2008. -- tj ========================================== J. T. Johnson Institute for Analytic Journalism -- Santa Fe, NM USA www.analyticjournalism.com 505.577.6482(c) 505.473.9646(h) http://www.jtjohnson.com [EMAIL PROTECTED] "You never change things by fighting the existing reality. To change something, build a new model that makes the existing model obsolete." -- Buckminster Fuller ==========================================
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