Decision trees are a simple but powerful prediction method. Figure 1: A classification decision tree is built by partitioning the predictor variable to reduce class mixing at each split. Figure 2: ...

The fundamental technique has been studied for decades, thus creating a huge amount of information and alternate variations that make it hard to tell what is key vs. non-essential information.

The preliminary test estimator (or predictor) is studied in the context of linear normal regression models. The estimator (or predictor) obtained after the ...

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 60, No. 1 (1998), pp. 103-114 (12 pages) A linear regression method to predict a scalar from a discretized smooth ...