A Random Forest Approach for Bounded Outcome Variables-Reference-Cited by-同舟云学术

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A Random Forest Approach for Bounded Outcome Variables

Published:2020-02-07 Issue:3 Volume:29 Page:639-658
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Weinhold Leonie¹,Schmid Matthias¹,Mitchell Richard²,Maloney Kelly O.³,Wright Marvin N.⁴,Berger Moritz¹

Affiliation:

1. Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany.

2. USEPA Office of Wetlands, Oceans, and Watersheds, Washington, DC.

3. U.S. Geological Survey, Leetown Science Center, Kearneysville, WV.

4. Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany.

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2019.1705310

Reference46 articles.

1. Landscapes and Riverscapes: The Influence of Land Use on Stream Ecosystems

2. Permutation importance: a corrected feature importance measure

3. Multiple-stressor effects on stream macroinvertebrate communities: A mesocosm experiment manipulating salinity, fine sediment and flow velocity

4. Quality-of-life: a many-splendored thing? Belgian population norms and 34 potential determinants explored by beta regression

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