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(Neural Computation. 2004;16:1763-1768.)
© 2004 The MIT Press


Note

A Note on the Applied Use of MDL Approximations

Daniel J. Navarro

navarro.20{at}osu.edu, Department of Psychology, Ohio State University, Columbus, OH 43210, U.S.A.

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.







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