(Enter summary)
Abstract: Rissanen's Minimum Description Length (MDL) principle is a statistical modeling principle
motivated by coding theory. For exponential families we obtain pathwise expansions, to the
constant order, of the predictive and mixture code lengths used in MDL. The results are useful
for understanding different MDL forms.
Key words: minimum description length, mixture code, predictive code, two-stage
code, law of iterated logarithm
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BibTeX entry: (Update)
L. Li and B. Yu (1999), `Iterated Logarithmic Expansions of the Pathwise Code Lengths for Exponential Families', private communication. http://citeseer.ist.psu.edu/li00iterated.html More
@misc{ li99iterated,
author = "L. Li and B. Yu",
title = "Iterated Logarithmic Expansions of the Pathwise Code Lengths for Exponential
Families",
text = "L. Li and B. Yu (1999), `Iterated Logarithmic Expansions of the Pathwise
Code Lengths for Exponential Families', private communication.",
year = "1999",
url = "citeseer.ist.psu.edu/li00iterated.html" }
Citations (may not include all citations):
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[Article contains additional citations not shown here]
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