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  • Search: subject:"boosted trees"
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Year of publication
Subject
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Forecasting model 5 Prognoseverfahren 5 Artificial intelligence 4 Künstliche Intelligenz 4 random forest 4 Theorie 3 Theory 3 LASSO 2 Liquidity 2 Liquidität 2 Neural networks 2 Neuronale Netze 2 Neyman 2 Orthogonalization 2 Philippinen 2 Philippines 2 boosted trees 2 cross-fit 2 debiased machine learning 2 deep learning 2 double machine learning 2 efficiency 2 efficient score 2 elastic net 2 gradient boosted trees 2 lasso 2 machine learning 2 neural nets 2 nowcasting 2 optimality 2 orthogonal score 2 post-machine-learning and post-regularization inference 2 ridge regression 2 ARIMA 1 Algorithm 1 Algorithmus 1 Boosted trees 1 Capital income 1 Capital market returns 1 Causality analysis 1
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Online availability
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Free 6 CC license 1
Type of publication
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Article 3 Book / Working Paper 3
Type of publication (narrower categories)
All
Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 6
Author
All
Chernozhukov, Victor 2 Chetverikov, Denis 2 Demirer, Mert 2 Duflo, Esther 2 Newey, Whitney K. 2 Reyes, Juan Rufino M. 2 Bergmeir, Christoph 1 Bui, Quang 1 Condylis, Paul 1 Daul, Stéphane 1 Godahewa, Rakshitha 1 Hansen, Christian 1 Hansen, Christian Bailey 1 Jaisson, Thibault 1 Lee, Seong Per 1 Long, Xueying 1 Nagy, Alexandra 1 Oktavian, Grady 1 Schmidt, Daniel F. 1 Zhao, Kaifeng 1
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Published in...
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BSP working paper series 1 CEMMAP working papers / Centre for Microdata Methods and Practice 1 The Journal of finance and data science : JFDS 1 The Philippine review of economics : a joint publication of the University of the Philippines, School of Economics and the Philippine Economic Society 1 cemmap working paper 1
Source
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ECONIS (ZBW) 5 EconStor 1
Showing 1 - 6 of 6
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Scalable probabilistic forecasting in retail with gradient boosted trees : a practitioner's approach
Long, Xueying; Bui, Quang; Oktavian, Grady; Schmidt, … - 2025
Persistent link: https://www.econbiz.de/10015371355
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Performance attribution of machine learning methods for stock returns prediction
Daul, Stéphane; Jaisson, Thibault; Nagy, Alexandra - In: The Journal of finance and data science : JFDS 8 (2022), pp. 86-104
We analyze the performance of investable portfolios built using predicted stock returns from machine learning methods and attribute their performance to linear, marginal non-linear and interaction effects. We use a large set of features including price-based, fundamental-based, and...
Persistent link: https://www.econbiz.de/10014433684
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Nowcasting domestic liquidity in the Philippines using machine learning algorithms
Reyes, Juan Rufino M. - In: The Philippine review of economics : a joint … 59 (2022) 2, pp. 1-40
Persistent link: https://www.econbiz.de/10014261311
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Nowcasting domestic liquidity in the Philippines using machine learning algorithms
Reyes, Juan Rufino M. - 2022
Persistent link: https://www.econbiz.de/10014318727
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Double machine learning for treatment and causal parameters
Chernozhukov, Victor; Chetverikov, Denis; Demirer, Mert; … - 2016
random forests, lasso, ridge, deep neural nets, boosted trees, as well as various hybrids and aggregates of these methods (e …
Persistent link: https://www.econbiz.de/10011594359
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Cover Image
Double machine learning for treatment and causal parameters
Chernozhukov, Victor; Chetverikov, Denis; Demirer, Mert; … - 2016
random forests, lasso, ridge, deep neural nets, boosted trees, as well as various hybrids and aggregates of these methods (e …
Persistent link: https://www.econbiz.de/10011538313
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