A Note on the Applied Use of MDL Approximations

NeCo 2004 pp. 1763-1768

doi:10.1162/0899766041336378 /neco/2004/navarro2004neco-note/

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.

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Text

Navarro. "A Note on the Applied Use of MDL Approximations." Neural Computation, 2004. doi:10.1162/0899766041336378

Markdown

[Navarro. "A Note on the Applied Use of MDL Approximations." Neural Computation, 2004.](https://mlanthology.org/neco/2004/navarro2004neco-note/) doi:10.1162/0899766041336378

BibTeX

@article{navarro2004neco-note,
  title     = {{A Note on the Applied Use of MDL Approximations}},
  author    = {Navarro, Daniel J.},
  journal   = {Neural Computation},
  year      = {2004},
  pages     = {1763-1768},
  doi       = {10.1162/0899766041336378},
  volume    = {16},
  url       = {https://mlanthology.org/neco/2004/navarro2004neco-note/}
}