A working guide to boosted regression trees

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ID: 110828
2008
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Abstract
1. Ecologists use statistical models for both explanation and prediction, and need techniques that are flexible enough to express typical features of their data, such as nonlinearities and interactions. 2. This study provides a working guide to boosted regression trees (BRT), an ensemble method for …
Reference Key
j2008thea Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Elith J;Leathwick JR;Hastie T;;
Journal The Journal of animal ecology
Year 2008
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/18397250
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE animals pubmed abstract nih national institutes of health national library of medicine models research support non-u.s. gov't regression analysis biological pmid:18397250 doi:10.1111/j.1365-2656.2008.01390.x j elith j r leathwick t hastie anguilla / growth & development anguilla / physiology* decision trees ecology / statistics & numerical data* statistical* statistics as topic*

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