Monthly
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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

September 1, 2004, Vol. 16, No. 9, Pages 1763-1768
(doi: 10.1162/0899766041336378)
© 2004 Massachusetts Institute of Technology
A Note on the Applied Use of MDL Approximations
Article PDF (76.83 KB)
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.