By Russell G. Almond,Robert J. Mislevy,Linda Steinberg,Duanli Yan,David Williamson
Bayesian inference networks, a synthesis of information and professional platforms, have complicated reasoning lower than uncertainty in drugs, enterprise, and social sciences. This cutting edge quantity is the 1st complete therapy exploring how they are often utilized to layout and learn cutting edge academic assessments.
Part I develops Bayes nets’ foundations in evaluate, facts, and graph idea, and works in the course of the real-time updating set of rules. half II addresses parametric kinds to be used with evaluate, model-checking options, and estimation with the EM set of rules and Markov chain Monte Carlo (MCMC). a different function is the volume’s grounding in Evidence-Centered layout (ECD) framework for evaluation layout. This “design ahead” method allows designers to take complete benefit of Bayes nets’ modularity and talent to version complicated evidentiary relationships that come up from functionality in interactive, technology-rich exams reminiscent of simulations. half III describes ECD, situates Bayes nets as an essential section of a principled layout procedure, and illustrates the information with an in-depth examine the BioMass venture: An interactive, standards-based, web-delivered demonstration evaluation of technological know-how inquiry in genetics.
This e-book is either a source for pros attracted to overview and complex students. Its transparent exposition, worked-through numerical examples, and demonstrations from actual and didactic purposes offer priceless illustrations of the way to exploit Bayes nets in academic evaluation. routines keep on with every one bankruptcy, and the web significant other web site offers a thesaurus, facts units and challenge setups, and hyperlinks to computational resources.
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