Targeting predictors in random forest regression
Year of publication: |
[2020] ; This version: May 5, 2020
|
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Authors: | Borup, Daniel ; Christensen, Bent Jesper ; Mühlbach, Nicolaj N. ; Nielsen, Mikkel S. |
Publisher: |
Aarhus, Denmark : Department of Economics and Business Economics, Aarhus University |
Subject: | Random forests | LASSO | high-dimensional forecasting | weak predictors | targeted predictors | Prognoseverfahren | Forecasting model | Forstwirtschaft | Forestry | Regressionsanalyse | Regression analysis | Theorie | Theory | Forstpolitik | Forest policy | Prognose | Forecast |
Extent: | 1 Online-Ressource (circa 50 Seiten) Illustrationen |
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Series: | CREATES research paper. - Aarhus : [Verlag nicht ermittelbar], ZDB-ID 2490360-7. - Vol. 2020, 03 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Source: | ECONIS - Online Catalogue of the ZBW |
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