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  • Search: subject:"Bayesian optimization"
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Year of publication
Subject
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Bayesian optimization 30 Bayes-Statistik 26 Bayesian inference 26 Theorie 23 Theory 23 Forecasting model 12 Prognoseverfahren 12 Mathematical programming 11 Mathematische Optimierung 11 Artificial intelligence 8 Künstliche Intelligenz 8 Gaussian process 6 Gaussian process regression 6 Algorithm 5 Algorithmus 5 Stochastic process 5 Stochastischer Prozess 5 Bayesian Optimization 4 Learning process 4 Lernprozess 4 Simulation 4 China 3 Cross-validation 3 Estimation theory 3 Price forecasting 3 Regression analysis 3 Regressionsanalyse 3 Risiko 3 Risk 3 Schätztheorie 3 Bayesian network 2 Bayesian optimization algorithm 2 Bootstrap approach 2 Bootstrap-Verfahren 2 Chinese real estate 2 Deep learning 2 Gauß-Prozess 2 Immobilienpreis 2 Instant delivery 2 Kriging 2
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Online availability
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Free 20 Undetermined 17 CC license 8
Type of publication
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Article 29 Book / Working Paper 8
Type of publication (narrower categories)
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Article in journal 24 Aufsatz in Zeitschrift 24 Arbeitspapier 8 Working Paper 8 Graue Literatur 7 Non-commercial literature 7 Article 3 research-article 1
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Language
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English 36 Undetermined 1
Author
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Jin, Bingzi 4 Xu, Xiaojie 4 Angün, Mevlüde Ebru 2 Bosse, Alexander 2 Boucher, Jean-Philippe 2 Fazelabdolabadi, Babak 2 Kleijnen, Jack P. C. 2 Manni, Emanuele 2 Mattfeld, Dirk C. 2 So, Banghee 2 Ulmer, Marlin Wolf 2 Valdez, Emiliano 2 Wang, Jianzhou 2 Alban, Andres 1 Archetti, Francesco 1 Audet, Charles 1 Avdoulas, Christos 1 Bagudu, Aliyu 1 Baik, Seung Min 1 Bartoli, Nathalie 1 Bekiros, Stelios 1 Bian, Bomin 1 Blomberg, Jeanette 1 Branke, Juergen 1 Burke, Richard 1 Candelieri, Antonio 1 Chen, An 1 Chen, Jingxu 1 Chen, Xuejun 1 Chen, Zhenni 1 Chick, Stephen E. 1 Chlebus, Marcin 1 Choi, Changhui 1 Clark, Scott C. 1 De Bock, Koen W. 1 Diallo, Boubacar 1 Diouane, Youssef 1 Drahokoupil, Jakub 1 Du, Huibin 1 Du, Shuyi 1
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Published in...
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European journal of operational research : EJOR 3 Computational economics 2 Discussion paper / Center for Economic Research, Tilburg University 2 Journal of forecasting 2 Les cahiers du GERAD 2 Operations research 2 ASTIN bulletin : the journal of the International Actuarial Association 1 Asian journal of economics and banking : AJEB 1 Computational management science 1 Decision analytics journal 1 Energy policy : the international journal of the political, economic, planning, environmental and social aspects of energy 1 FFA Working Papers : FFA working paper 1 Faculty & research / Insead : working paper series 1 Financial Innovation 1 Financial innovation : FIN 1 International journal of empirical economics 1 International journal of hospitality management 1 Journal of Global Optimization 1 Journal of Modelling in Management 1 Journal of applied econometrics 1 Journal of derivatives and quantitative studies : Seonmul yeongu 1 Journal of management science and engineering 1 Optimization Letters 1 Risks 1 Risks : open access journal 1 Technological forecasting and social change : an international journal 1 Transportation research / E : an international journal 1 Working paper series 1 Working papers 1
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Source
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ECONIS (ZBW) 32 EconStor 3 RePEc 1 Other ZBW resources 1
Showing 11 - 20 of 37
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Dynamic priority rules for combining on-demand passenger transportation and transportation of goods
Bosse, Alexander; Ulmer, Marlin Wolf; Manni, Emanuele; … - 2022
effective time-dependent parametrizations given a limited number of runtime-expensive simulations, we apply Bayesian … Optimization. We show that our anticipatory policy increases revenue and service rates significantly while a myopic combination of …
Persistent link: https://www.econbiz.de/10013332561
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Learning personalized treatment strategies with predictive and prognostic covariates in adaptive clinical trials
Alban, Andres; Chick, Stephen E.; Zoumpoulis, Spyros I. - 2022
Persistent link: https://www.econbiz.de/10013373076
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Multi-objective optimization of environmental tax for mitigating air pollution and greenhouse gas
Li, Sijing; Jia, Ning; Chen, Zhenni; Du, Huibin; Zhang, … - In: Journal of management science and engineering 7 (2022) 3, pp. 473-488
the sectoral level. A model framework combining the computable general equilibrium (CGE) model and Bayesian optimization …
Persistent link: https://www.econbiz.de/10014315605
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Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Liu, Zhenkun; Jiang, Ping; De Bock, Koen W.; Wang, Jianzhou - In: Technological forecasting and social change : an … 198 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10015076450
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Forecasting the stock price of listed innovative SMEs using machine learning methods based on Bayesian optimization : evidence from China
Liu, Wei; Suzuki, Yoshihisa; Du, Shuyi - In: Computational economics 63 (2024) 5, pp. 2035-2068
Persistent link: https://www.econbiz.de/10014550859
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Automated tariff design for energy supply-demand matching based on Bayesian optimization : technical framework and policy implications
Lee, Hyun-Suk - In: Energy policy : the international journal of the … 188 (2024), pp. 1-13
Persistent link: https://www.econbiz.de/10015116903
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A novel hybrid forecasting model with feature selection and deep learning for wind speed research
Chen, Xuejun; Wang, Ying; Zhang, Haitao; Wang, Jianzhou - In: Journal of forecasting 43 (2024) 5, pp. 1682-1705
Persistent link: https://www.econbiz.de/10015108429
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Pre-owned housing price index forecasts using Gaussian process regressions
Jin, Bingzi; Xu, Xiaojie - In: Journal of Modelling in Management 19 (2024) 6, pp. 1927-1958
Purpose The purpose of this study is to make property price forecasts for the Chinese housing market that has grown rapidly in the last 10 years, which is an important concern for both government and investors. Design/methodology/approach This study examines Gaussian process regressions with...
Persistent link: https://www.econbiz.de/10015351545
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Pre-owned housing price index forecasts using Gaussian process regression
Jin, Bingzi; Xu, Xiaojie - 2024
Persistent link: https://www.econbiz.de/10015371626
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Synthetic dataset generation of driver telematics
So, Banghee; Boucher, Jean-Philippe; Valdez, Emiliano - In: Risks 9 (2021) 4, pp. 1-19
This article describes the techniques employed in the production of a synthetic dataset of driver telematics emulated from a similar real insurance dataset. The synthetic dataset generated has 100,000 policies that included observations regarding driver's claims experience, together with...
Persistent link: https://www.econbiz.de/10013200727
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