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Variable selection bias in regression trees with constant fits

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  • Shih, Yu-Shan
  • Tsai, Hsin-Wen

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  • Shih, Yu-Shan & Tsai, Hsin-Wen, 2004. "Variable selection bias in regression trees with constant fits," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 595-607, April.
    • Handle: RePEc:eee:csdana:v:45:y:2004:i:3:p:595-607
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    References listed on IDEAS

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    1. A. J. Scott & M. Knott, 1976. "An Approximate Test for Use with Aid," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 25(2), pages 103-106, June.
    2. Kim H. & Loh W.Y., 2001. "Classification Trees With Unbiased Multiway Splits," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 589-604, June.
    3. G. V. Kass, 1975. "Significance Testing in Automatic Interaction Detection (A.I.D.)," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 24(2), pages 178-189, June.
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    Cited by:

    1. Strobl, Carolin & Boulesteix, Anne-Laure & Augustin, Thomas, 2007. "Unbiased split selection for classification trees based on the Gini Index," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 483-501, September.
    2. Wei, Pengfei & Lu, Zhenzhou & Song, Jingwen, 2015. "Variable importance analysis: A comprehensive review," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 399-432.
    3. Gerhard Tutz & Moritz Berger, 2016. "Item-focussed Trees for the Identification of Items in Differential Item Functioning," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 727-750, September.
    4. Yuan Xu & Huading Shi & Yang Fei & Chao Wang & Li Mo & Mi Shu, 2021. "Identification of Soil Heavy Metal Sources in a Large-Scale Area Affected by Industry," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    5. Postiglione, Paolo & Benedetti, Roberto & Lafratta, Giovanni, 2010. "A regression tree algorithm for the identification of convergence clubs," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2776-2785, November.
    6. Xiaogang Su & George Ekow Quaye & Yishu Wei & Joseph Kang & Lei Liu & Qiong Yang & Juanjuan Fan & Richard A. Levine, 2024. "Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees," Mathematics, MDPI, vol. 12(20), pages 1-28, October.
    7. Hapfelmeier, A. & Ulm, K., 2014. "Variable selection by Random Forests using data with missing values," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 129-139.
    8. Alvarez-Iglesias, Alberto & Hinde, John & Ferguson, John & Newell, John, 2017. "An alternative pruning based approach to unbiased recursive partitioning," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 90-102.
    9. S. H. C. M. van Veen & R. C. van Kleef & W. P. M. M. van de Ven & R. C. J. A. van Vliet, 2018. "Exploring the predictive power of interaction terms in a sophisticated risk equalization model using regression trees," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1-12, February.
    10. Wei-Yin Loh, 2014. "Fifty Years of Classification and Regression Trees," International Statistical Review, International Statistical Institute, vol. 82(3), pages 329-348, December.

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