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An alternative model to class conditional probability estimation for classification problems is introduced. The model assumes a deterministic mapping between input space and the set of classes, training data consists of probability distributions of the classes at the measurements points. A...
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model. To improve the finite sample performance, we also consider bootstrap tests. In simulation experiments the MAPC …
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at long horizons. This paper develops easily implemented numerical simulation algorithms for analyzing stationary and …
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