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Chain Event Graphs - Chapman & Hall/CRC Computer Science and Data Analysis Series (Paperback)
Loot Price: R1,475
Discovery Miles 14 750
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Chain Event Graphs - Chapman & Hall/CRC Computer Science and Data Analysis Series (Paperback)
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Expected to ship within 12 - 17 working days
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Total price: R1,495
Discovery Miles: 14 950
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Written by some major contributors to the development of this class
of graphical models, Chain Event Graphs introduces a viable and
straightforward new tool for statistical inference, model selection
and learning techniques. The book extends established technologies
used in the study of discrete Bayesian Networks so that they apply
in a much more general setting As the first book on Chain Event
Graphs, this monograph is expected to become a landmark work on the
use of event trees and coloured probability trees in statistics,
and to lead to the increased use of such tree models to describe
hypotheses about how events might unfold. Features: introduces a
new and exciting discrete graphical model based on an event tree
focusses on illustrating inferential techniques, making its
methodology accessible to a very broad audience and, most
importantly, to practitioners illustrated by a wide range of
examples, encompassing important present and future applications
includes exercises to test comprehension and can easily be used as
a course book introduces relevant software packages Rodrigo A.
Collazo is a methodological and computational statistician based at
the Naval Systems Analysis Centre (CASNAV) in Rio de Janeiro,
Brazil. Christiane Goergen is a mathematical statistician at the
Max Planck Institute for Mathematics in the Sciences, Leipzig,
Germany. Jim Q. Smith is a professor of statistics at the
University of Warwick, UK. He has published widely in the field of
statistics, AI, and decision analysis and has written two other
books, most recently Bayesian Decision Analysis: Principles and
Practice (Cambridge University Press 2010).
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