Author(s): Russell G. Almond, Robert J. Mislevy, Linda Steinberg, Duanli Yan, David Williamson
Categories: Social Science > General, Computers > Artificial Intelligence, Mathematics > Probability & Statistics
Publisher: Springer
Publish date: 2015-03-11
ISBN-10: 149392124X
ISBN-13: 9781493921249
Language: English
Description:
Bayesian inference networks, a synthesis of statistics and expert
systems, have advanced reasoning under uncertainty in medicine,
business, and social sciences. This innovative volume is the
first comprehensive treatment exploring how they can be applied
to design and analyze innovative educational assessments.
Part I develops Bayes nets’ foundations in assessment,
statistics, and graph theory, and works through the real-time
updating algorithm. Part II addresses parametric forms for use
with assessment, model-checking techniques, and estimation with
the EM algorithm and Markov chain Monte Carlo (MCMC). A unique
feature… more…
Bayesian inference networks, a synthesis of statistics and expert
systems, have advanced reasoning under uncertainty in medicine,
business, and social sciences. This innovative volume is the
first comprehensive treatment exploring how they can be applied
to design and analyze innovative educational assessments.
Part I develops Bayes nets’ foundations in assessment,
statistics, and graph theory, and works through the real-time
updating algorithm. Part II addresses parametric forms for use
with assessment, model-checking techniques, and estimation with
the EM algorithm and Markov chain Monte Carlo (MCMC). A unique
feature… more…