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Author

A. Neimaier

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Preprint Aug 2026

Handling Missing Data in Probabilistic Regression Trees

Probabilistic Regression Trees (PRTrees) are a smooth and consistent alternative to classical regression trees, producing continuous predictions through probabilistic split assignments. This paper extends the PRTree framework to accommodate missing predictor values directly during tree construction, eliminating the nee...

T. S. Prass, A. Neimaier, G. Pumi · 1 citation

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