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  • Search: subject:"generalized random forests"
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Year of publication
Subject
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Artificial intelligence 5 Forestry 5 Forstwirtschaft 5 Generalized random forests 5 Künstliche Intelligenz 5 generalized random forests 5 machine learning 5 Causality analysis 3 Estimation theory 3 Fertility 3 Fertilität 3 Forest policy 3 Forstpolitik 3 IV-Schätzung 3 Instrumental variables 3 Kausalanalyse 3 Kleinste-Quadrate-Methode 3 Least squares method 3 Schätztheorie 3 fertility 3 instrumental variable estimation 3 Backtesting 1 Beziehungsmarketing 1 Capital income 1 Causal machine learning 1 Coastal area 1 Coastal flood risk 1 Coastal housing market 1 Coastal management 1 Consumer behaviour 1 Cryptocurrencies 1 Customer satisfaction 1 E-commerce 1 Einzelhandel 1 Electronic Commerce 1 Flood 1 Flood zone 1 Forecasting model 1 Greenhouse gas emissions 1 Hedonic price index 1
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Online availability
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Free 5 Undetermined 5
Type of publication
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Article 6 Book / Working Paper 4
Type of publication (narrower categories)
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Article in journal 6 Aufsatz in Zeitschrift 6 Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Conference Paper 1 Conference paper 1 Konferenzbeitrag 1
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Language
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English 10
Author
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Biewen, Martin 5 Kugler, Philipp 5 Buse, Rebekka 1 Chen, Zhenshan 1 Görgen, Konstantin 1 He, Xi 1 Law, Rob 1 Nicolau, Juan Luis 1 Park, Young-Hoon 1 Schienle, Melanie 1 Towe, Charles 1 Unal, Murat 1 Wang, Man 1 Wu, Banggang 1 Xiang, Shuting 1 Xu, Yukuan 1 Yang, Qiuping 1
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Published in...
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Discussion paper series 2 Beiträge zur Jahrestagung des Vereins für Socialpolitik 2020: Gender Economics 1 Economics letters 1 Finance research letters 1 IZA Discussion Papers 1 International journal of forecasting 1 International journal of hospitality management 1 Journal of environmental economics and management : JEEM ; the official journal of the Association of Environmental and Resource Economists 1 Management science : journal of the Institute for Operations Research and the Management Sciences 1
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Source
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ECONIS (ZBW) 8 EconStor 2
Showing 1 - 10 of 10
Cover Image
Predicting value at risk for cryptocurrencies with generalized random forests
Buse, Rebekka; Görgen, Konstantin; Schienle, Melanie - In: International journal of forecasting 41 (2025) 3, pp. 1199-1222
Persistent link: https://www.econbiz.de/10015441558
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Impact of smart door locks on traveler satisfaction on accommodation-sharing platform : an empirical investigation based on generalized random forests
Xu, Yukuan; Wu, Banggang; Nicolau, Juan Luis; Law, Rob; … - In: International journal of hospitality management 131 (2025), pp. 1-10
Persistent link: https://www.econbiz.de/10015434809
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Heterogeneous flood zone effects on coastal housing prices : risk signal and mandatory costs
Chen, Zhenshan; Towe, Charles; He, Xi - In: Journal of environmental economics and management : … 131 (2025), pp. 1-22
Persistent link: https://www.econbiz.de/10015561649
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Two-stage least squares random forests with a replication of angrist and evans (1998)
Biewen, Martin; Kugler, Philipp - 2020
Random Forests, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method …We develop the case of two-stage least squares estimation (2SLS) in the general framework of Athey et al. (Generalized …
Persistent link: https://www.econbiz.de/10012424219
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Two-stage least squares random forests with an application to Angrist and Evans (1998)
Biewen, Martin; Kugler, Philipp - 2020
Random Forests, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method …We develop the case of two-stage least squares estimation (2SLS) in the general framework of Athey et al. (Generalized …
Persistent link: https://www.econbiz.de/10012269068
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Two-Stage Least Squares Random Forests with an Application to Angrist and Evans (1998)
Biewen, Martin; Kugler, Philipp - 2020
Random Forests, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method …We develop the case of two-stage least squares estimation (2SLS) in the general framework of Athey et al. (Generalized …
Persistent link: https://www.econbiz.de/10012270291
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Two-Stage Least Squares Random Forests with a Replication of Angrist and Evans (1998)
Kugler, Philipp; Biewen, Martin - 2020
Random Forests, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method …We develop the case of two-stage least squares estimation (2SLS) in the general framework of Athey et al. (Generalized …
Persistent link: https://www.econbiz.de/10012287826
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Fewer clicks, more purchases
Unal, Murat; Park, Young-Hoon - In: Management science : journal of the Institute for … 69 (2023) 12, pp. 7317-7334
Persistent link: https://www.econbiz.de/10014444131
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The heterogeneous treatment effect of low-carbon city pilot policy on stock return : a generalized random forests approach
Wang, Man; Yang, Qiuping - In: Finance research letters 47 (2022) 1, pp. 1-8
Persistent link: https://www.econbiz.de/10013455532
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Two-stage least squares random forests with an application to Angrist and Evans (1998)
Biewen, Martin; Kugler, Philipp - In: Economics letters 204 (2021), pp. 1-5
Persistent link: https://www.econbiz.de/10012607793
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