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  • Search: subject:"Applied machine learning"
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Year of publication
Subject
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Artificial intelligence 3 Künstliche Intelligenz 3 Applied machine learning 2 Business rates 1 Causality analysis 1 Corporate taxation 1 Credit rating 1 Credit scoring 1 Discriminant analysis 1 Diskriminanzanalyse 1 Estimation theory 1 Financial technology 1 KMU 1 Kausalanalyse 1 Kreditwürdigkeit 1 Modified binning 1 Policy 1 Preismanagement 1 Pricing strategy 1 Productivity 1 Produktivität 1 Regression analysis 1 Regressionsanalyse 1 SME 1 Schätztheorie 1 Short-period problem 1 Small business 1 Steuerwirkung 1 Tax effects 1 Taxation 1 Theorie 1 Theory 1 Unternehmensbesteuerung 1 Vermögensteuer 1 Wealth tax 1 applied machine learning 1 binary outcome 1 heterogeneous treatment effect estimation 1 orthogonal machine learning 1 ticket reselling 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Alley, Michael 1 Anggodo, Yusuf Priyo 1 Biggs, Max 1 Girsang, Abba Suganda 1 Gobey, Matthew 1 Hariss, Rim 1 Herrmann, Charles 1 Li, Michael Lingzhi 1 Matikonis, Karolis 1 Perakis, Georgia 1
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Published in...
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Computational economics 1 Manufacturing & service operations management : M & SOM 1 Small business economics : an international journal 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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Small business property tax reductions and firm productivity
Matikonis, Karolis; Gobey, Matthew - In: Small business economics : an international journal 62 (2024) 1, pp. 307-324
Persistent link: https://www.econbiz.de/10014631922
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A novel modified binning and logistics regression to handle shifting in credit scoring
Anggodo, Yusuf Priyo; Girsang, Abba Suganda - In: Computational economics 63 (2024) 6, pp. 2371-2403
Persistent link: https://www.econbiz.de/10014636748
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Pricing for heterogeneous products : analytics for ticket reselling
Alley, Michael; Biggs, Max; Hariss, Rim; Herrmann, Charles - In: Manufacturing & service operations management : M & SOM 25 (2023) 2, pp. 409-426
Persistent link: https://www.econbiz.de/10014301962
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