Control Variates for Probability and Quantile Estimation
نویسندگان
چکیده
منابع مشابه
Boosted Classification Trees and Class Probability/Quantile Estimation
The standard by which binary classifiers are usually judged, misclassification error, assumes equal costs of misclassifying the two classes or, equivalently, classifying at the 1/2 quantile of the conditional class probability function P[y = 1|x]. Boosted classification trees are known to perform quite well for such problems. In this article we consider the use of standard, off-the-shelf boosti...
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ژورنال
عنوان ژورنال: Management Science
سال: 1998
ISSN: 0025-1909,1526-5501
DOI: 10.1287/mnsc.44.9.1295