Prediction with missing data via Bayesian Additive Regression Trees
نویسندگان
چکیده
منابع مشابه
Prediction with Missing Data via Bayesian Additive Regression Trees
We present a method for incorporating missing data into general forecasting problems which use non-parametric statistical learning. We focus on a tree-based method, Bayesian Additive Regression Trees (BART), enhanced with “Missingness Incorporated in Attributes,” an approach recently proposed for incorporating missingness into decision trees. This procedure extends the native partitioning mecha...
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ژورنال
عنوان ژورنال: Canadian Journal of Statistics
سال: 2015
ISSN: 0319-5724
DOI: 10.1002/cjs.11248