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Direct linkFu, Wai-Tat – Cognitive Science, 2008
Griffiths, Christian, and Kalish (this issue) present an iterative-learning paradigm applying a Bayesian model to understand inductive biases in categorization. The authors argue that the paradigm is useful as an exploratory tool to understand inductive biases in situations where little is known about the task. It is argued that a theory developed…
Descriptors: Bayesian Statistics, Schemata (Cognition), Schematic Studies, Psychometrics
Download full textHambleton, Ronald K.; Swaminathan, H. – 1985
Comments are made on the review papers presented by six Dutch psychometricians: Ivo Molenaar, Wim van der Linden, Ed Roskam, Arnold Van den Wollenberg, Gideon Mellenbergh, and Dato de Gruijter. Molenaar has embraced a pragmatic viewpoint on Bayesian methods, using both empirical and pure approaches to solve educational research problems. Molenaar…
Descriptors: Bayesian Statistics, Decision Making, Elementary Secondary Education, Foreign Countries
