Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/33859
Citations
Scopus Web of Science® Altmetric
?
?
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
1530-888X
Statement of
Responsibility: 
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; Retention (Psychology); Models, Psychological
Description: .
Rights: Copyright © 2004 Massachusetts Institute of Technology
RMID: RQF0000034
DOI: 10.1162/0899766041336378
Appears in Collections:Psychology publications

Files in This Item:
File Description SizeFormat 
hdl_33859.pdfAccepted version200.17 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.