Please use this identifier to cite or link to this item:
https://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 Models, Psychological Retention, Psychology |
Description: | . |
Rights: | Copyright © 2004 Massachusetts Institute of Technology |
DOI: | 10.1162/0899766041336378 |
Published version: | http://dx.doi.org/10.1162/0899766041336378 |
Appears in Collections: | Aurora harvest 7 Psychology publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_33859.pdf | Accepted version | 200.17 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.