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Kruschke, John K.1
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Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting
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Kruschke, John K. – Psychological Review, 2006
A scheme is described for locally Bayesian parameter updating in models structured as successions of component functions. The essential idea is to back-propagate the target data to interior modules, such that an interior component's target is the input to the next component that maximizes the probability of the next component's target. Each layer…
Descriptors: Bayesian Statistics, Models, Probability, Associative Learning
The Order-Restricted Association Model: Two Estimation Algorithms and Issues in Testing
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Galindo-Garre, Francisca; Vermunt, Jeroen K. – Psychometrika, 2004
This paper presents a row-column (RC) association model in which the estimated row and column scores are forced to be in agreement with a priori specified ordering. Two efficient algorithms for finding the order-restricted maximum likelihood (ML) estimates are proposed and their reliability under different degrees of association is investigated by…
Descriptors: Mathematics, Test Reliability, Computation, Testing