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 tom at jtjohnson.com
"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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