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  • Search: subject:"ensemble modeling"
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Year of publication
Subject
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ensemble modeling 5 Forecasting model 4 Prognoseverfahren 4 Modellierung 3 Scientific modelling 3 Theorie 3 Theory 3 data mining 3 Data Mining 2 Data mining 2 Ensemble modeling 2 classification model 2 credit risk default 2 model averaging 2 weighted-linear combination 2 Beziehungsmarketing 1 Churn prediction 1 Computer-assisted marketing 1 Credit risk 1 Customer data 1 Customer data platform 1 Customer lifetime value 1 Customer value 1 DSGE models 1 Forecast densities 1 Forecast evaluation 1 IT-gestütztes Marketing 1 Insolvency 1 Insolvenz 1 Kreditrisiko 1 Kundendaten 1 Kundenwert 1 Marketing analytics 1 Markov chain 1 Markov-Kette 1 Relationship marketing 1 VAR models 1
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Online availability
All
Free 6 CC license 1 Undetermined 1
Type of publication
All
Article 4 Book / Working Paper 3
Type of publication (narrower categories)
All
Article in journal 3 Aufsatz in Zeitschrift 3 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 5 Undetermined 2
Author
All
Jacobsen, Joyce P. 3 Levin, Laurence M. 3 Tausanovitch, Zachary 3 Cucculelli, Marco 2 Jha, Paritosh Navinchandra 2 Bache, Ida Wolden 1 Jore, Anne Sofie 1 Mitchell, James 1 Resnick, Nicholas 1 Vahey, Shaun P. 1 Yan, Yan 1
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Institution
All
Economics Department, Wesleyan University 1 Norges Bank 1
Published in...
All
Eastern economic journal 1 Risks 1 Risks : open access journal 1 Wesleyan Economics Working Papers 1 Wesleyan economic working papers 1 Working Paper / Norges Bank 1
Source
All
ECONIS (ZBW) 4 RePEc 2 EconStor 1
Showing 1 - 7 of 7
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A high-performance turnkey system for customer lifetime value prediction in retail brands
Yan, Yan; Resnick, Nicholas - 2024
Persistent link: https://www.econbiz.de/10015127375
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A new model averaging approach in predicting credit risk default
Jha, Paritosh Navinchandra; Cucculelli, Marco - In: Risks 9 (2021) 6, pp. 1-30
The paper introduces a novel approach to ensemble modeling as a weighted model average technique. The proposed idea is …
Persistent link: https://www.econbiz.de/10013200780
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A new model averaging approach in predicting credit risk default
Jha, Paritosh Navinchandra; Cucculelli, Marco - In: Risks : open access journal 9 (2021) 6, pp. 1-30
The paper introduces a novel approach to ensemble modeling as a weighted model average technique. The proposed idea is …
Persistent link: https://www.econbiz.de/10012598408
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Comparing Standard Regression Modeling to Ensemble Modeling: How Data Mining Software Can Improve Economists' Predictions
Jacobsen, Joyce P.; Levin, Laurence M.; Tausanovitch, … - Economics Department, Wesleyan University - 2014
-specified model for estimation. We discuss how new data mining/ensemble modeling software, for example the program TreeNet, can be …, TreeNet outperforms standard OLS regression in terms of lower prediction error. Ensemble modeling also resists the tendency to …
Persistent link: https://www.econbiz.de/10011098956
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Comparing standard regression modeling to ensemble modeling : how data mining software can improve economists' predictions
Jacobsen, Joyce P.; Levin, Laurence M.; Tausanovitch, … - 2014
Persistent link: https://www.econbiz.de/10010526916
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Comparing standard regression modeling to ensemble modeling : how data mining software can improve economists' predictions
Jacobsen, Joyce P.; Levin, Laurence M.; Tausanovitch, … - In: Eastern economic journal 42 (2016) 3, pp. 387-398
Persistent link: https://www.econbiz.de/10011742176
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Combining VAR and DSGE forecast densities
Bache, Ida Wolden; Jore, Anne Sofie; Mitchell, James; … - Norges Bank - 2009
A popular macroeconomic forecasting strategy takes combinations across many models to hedge against instabilities of unknown timing; see (among others) Stock and Watson (2004), Clark and McCracken (2010), and Jore et al. (2010). Existing studies of this forecasting strategy exclude Dynamic...
Persistent link: https://www.econbiz.de/10008514719
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