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Efficient Distributional Regression Trees Learning Algorithms for Calibrated Non-Parametric Probabilistic Forecasts.

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Title: Efficient Distributional Regression Trees Learning Algorithms for Calibrated Non-Parametric Probabilistic Forecasts.
Authors: Duchemin, Quentin1 (AUTHOR) quentin.duchemin@epfl.ch, Obozinski, Guillaume1 (AUTHOR)
Source: Journal of Computational & Graphical Statistics. May2026, p1-17. 17p. 9 Illustrations.
Database: Business Source Ultimate
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An: 193882062
AccessLevel: 2
PubType: Academic Journal
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  Data: Efficient Distributional Regression Trees Learning Algorithms for Calibrated Non-Parametric Probabilistic Forecasts.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Graphical+Statistics%22">Journal of Computational & Graphical Statistics</searchLink>. May2026, p1-17. 17p. 9 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193882062
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10618600.2026.2675431
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 1
    Titles:
      – TitleFull: Efficient Distributional Regression Trees Learning Algorithms for Calibrated Non-Parametric Probabilistic Forecasts.
        Type: main
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            NameFull: Duchemin, Quentin
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            NameFull: Obozinski, Guillaume
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          Dates:
            – D: 16
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10618600
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            – TitleFull: Journal of Computational & Graphical Statistics
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