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Type: Journal article
Title: A note on the applied use of MDL approximations
Author: Navarro, D.
Citation: Neural Computation, 2004; 16(9):1763-1768
Publisher: M I T Press
Issue Date: 2004
ISSN: 0899-7667
Statement of
Daniel J. Navarro
Abstract: An applied problem is discussed in which two nested psychological models of retention are compared using minimum description length (MDL). The standard Fisher information approximation to the normalized maximum likelihood is calculated for these two models, with the result that the full model is assigned a smaller complexity, even for moderately large samples. A geometric interpretation for this behavior is considered, along with its practical implications
Keywords: Humans; Data Interpretation, Statistical; Likelihood Functions; Mental Processes; Models, Psychological; Retention, Psychology
Description: .
Rights: Copyright © 2004 Massachusetts Institute of Technology
RMID: RQF0000034
DOI: 10.1162/0899766041336378
Appears in Collections:Psychology publications

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