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  • Search: subject:"Conditional inference trees"
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Year of publication
Subject
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conditional inference trees 8 Artificial intelligence 4 Forecasting model 4 Künstliche Intelligenz 4 Prognoseverfahren 4 Estimation theory 3 Schätztheorie 3 binary classification 3 correlated predictors 3 simulation study 3 supervised machine learning 3 Classification 2 Induktive Statistik 2 JDemetra+ 2 Klassifikation 2 Mustererkennung 2 Neural networks 2 Neuronale Netze 2 Pattern recognition 2 Simulation 2 Statistical inference 2 Theorie 2 Theory 2 conditional inference forests,random survival forests 2 tree-based methods 2 Bank failure 1 Bank's insolvencies 1 Bankinsolvenz 1 Children 1 Conditional inference trees 1 Correlation 1 Country risk 1 Credit rating 1 Early warning system 1 Economic growth 1 Emerging economies 1 Forecasting 1 Forest 1 Forest policy 1 Forestry 1
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Online availability
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Free 5 Undetermined 4 CC license 1
Type of publication
All
Article 6 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article 1
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Language
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English 9
Author
All
Ollech, Daniel 3 Webel, Karsten 3 Petropoulos, Anastasios 2 Siakoulis, Vasilis 2 Sigirli, Deniz 2 Stavroulakis, Evangelos 2 Yabaci, Aysegul 2 Abzug, Rikki 1 Engelbrecht, Liezel 1 Mphaphuli, Edzani 1 Rich, Kate 1 Simonoff, Jeffrey S. 1 Vlachogiannakis, Nikolaos E. 1 Wills, Gabrielle 1
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Published in...
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Deutsche Bundesbank Discussion Paper 1 Discussion paper 1 Intelligent systems in accounting, finance & management 1 International journal of forecasting 1 Journal of econometric methods 1 Nonprofit and voluntary sector quarterly : journal of the Association for Research on Nonprofit Organizations and Voluntary Action 1 Statistics in Transition new series (SiTns) 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Stellenbosch economic working papers : a working paper of the Department of Economics and the Bureau at the University of Stellenbosch 1
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Source
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ECONIS (ZBW) 7 EconStor 2
Showing 1 - 9 of 9
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Mitigating the impact of intergenerational risk factors on stunting : insights from the Grow Great Community Stunting Survey
Rich, Kate; Engelbrecht, Liezel; Wills, Gabrielle; … - 2024
Persistent link: https://www.econbiz.de/10015044970
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Comparison of tree-based methods used in survival data
Yabaci, Aysegul; Sigirli, Deniz - In: Statistics in Transition new series (SiTns) 23 (2022) 1, pp. 21-38
. Conditional inference trees (Ctree) form a non-parametric class of regression trees embedding tree-structured regression models …
Persistent link: https://www.econbiz.de/10013444118
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Cover Image
Comparison of tree-based methods used in survival data
Yabaci, Aysegul; Sigirli, Deniz - In: Statistics in transition : an international journal of … 23 (2022) 1, pp. 21-38
. Conditional inference trees (Ctree) form a non-parametric class of regression trees embedding tree-structured regression models …
Persistent link: https://www.econbiz.de/10013419288
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A random forest-based approach to combining and ranking seasonality tests
Ollech, Daniel; Webel, Karsten - In: Journal of econometric methods 12 (2023) 1, pp. 117-130
Persistent link: https://www.econbiz.de/10013554738
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Using conditional inference trees to (re)explore nonprofit board composition
Simonoff, Jeffrey S.; Abzug, Rikki - In: Nonprofit and voluntary sector quarterly : journal of … 52 (2023) 2, pp. 529-543
Persistent link: https://www.econbiz.de/10014245852
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A random forest-based approach to identifying the most informative seasonality tests
Ollech, Daniel; Webel, Karsten - 2020
inference trees to be the method which best balances these key requirements. Applying this method to the seasonality tests … accuracy, interpretability and availability of unbiased variable importance measures and find random forests of conditional …
Persistent link: https://www.econbiz.de/10012302182
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Cover Image
A random forest-based approach to identifying the most informative seasonality tests
Ollech, Daniel; Webel, Karsten - 2020
inference trees to be the method which best balances these key requirements. Applying this method to the seasonality tests … accuracy, interpretability and availability of unbiased variable importance measures and find random forests of conditional …
Persistent link: https://www.econbiz.de/10012301212
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Towards an early warning system for sovereign defaults leveraging on machine learning methodologies
Petropoulos, Anastasios; Siakoulis, Vasilis; … - In: Intelligent systems in accounting, finance & management 29 (2022) 2, pp. 118-129
Persistent link: https://www.econbiz.de/10013274258
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Predicting bank insolvencies using machine learning techniques
Petropoulos, Anastasios; Siakoulis, Vasilis; … - In: International journal of forecasting 36 (2020) 3, pp. 1092-1113
Persistent link: https://www.econbiz.de/10012497724
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