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Media type:
E-Article
Title:
CONSTRUCTION AND EVALUATION OF CLASSIFIERS FOR FORENSIC DOCUMENT ANALYSIS
Contributor:
Saunders, Christopher P.;
Davis, Linda J.;
Lamas, Andrea C.;
Miller, John J.;
Gantz, Donald T.
imprint:
Institute of Mathematical Statistics, 2011
Published in:The Annals of Applied Statistics
Language:
English
ISSN:
1932-6157
Origination:
Footnote:
Description:
<p>In this study we illustrate a statistical approach to questioned document examination. Specifically, we consider the construction of three classifiers that predict the writer of a sample document based on categorical data. To evaluate these classifiers, we use a data set with a large number of writers and a small number of writing samples per writer. Since the resulting classifiers were found to have near perfect accuracy using leave-one-out crossvalidation, we propose a novel Bayesian-based cross-validation method for evaluating the classifiers.</p>