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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 1 - 10 of 37
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Predicting wholesale edible oil prices through Gaussian process regressions tuned with Bayesian optimization and cross-validation
Jin, Bingzi; Xu, Xiaojie - In: Asian journal of economics and banking : AJEB 9 (2025) 1, pp. 64-82
Purpose - Developing price forecasts for various agricultural commodities has long been a significant undertaking for a variety of agricultural market players. The weekly wholesale price of edible oil in the Chinese market over a ten-year period, from January 1, 2010 to January 3, 2020, is the...
Persistent link: https://www.econbiz.de/10015339298
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High-dimensional parameter calibration of interest rate model for the Korean insurance capital standard
Baik, Seung Min; Choi, Changhui; Jang, Bong-Gyu - In: Journal of derivatives and quantitative studies : … 33 (2025) 1, pp. 23-44
integrates a trust region-based Bayesian optimization technique with a parameter space decomposition method to solve the … high-dimensional parameters compared to conventional Bayesian optimization approaches. …
Persistent link: https://www.econbiz.de/10015397306
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Machine learning-based scrap steel price forecasting for the Northeast Chinese market
Jin, Bingzi; Xu, Xiaojie - In: International journal of empirical economics 3 (2024) 4, pp. 1-21
Throughout history, governments and investors have relied on predictions of prices for a broad spectrum of commodities. Using time-series data covering 08/23/2013-04/15/2021, this study investigates the challenging problem of predicting scrap steel prices, which are issued daily for the...
Persistent link: https://www.econbiz.de/10015194297
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Efficient global optimization and the zero-gradient condition, in expensive simulation
Angün, Mevlüde Ebru; Kleijnen, Jack P. C. - 2024
Persistent link: https://www.econbiz.de/10015101609
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Bayesian optimization with hidden constraints for aircraft design
Tfaily, Ali; Diouane, Youssef; Bartoli, Nathalie; … - 2024
Persistent link: https://www.econbiz.de/10014483363
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Optimization of system dynamics models : a novel methodology
Angün, Mevlüde Ebru; Kleijnen, Jack P. C.; Smits, Martin - 2023
Persistent link: https://www.econbiz.de/10014439377
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A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization
Lahmiri, Salim; Bekiros, Stelios; Avdoulas, Christos - In: Decision analytics journal 6 (2023), pp. 1-8
regression, and Gaussian process regression. Bayesian optimization is implemented in a ten-fold cross-validation framework to …
Persistent link: https://www.econbiz.de/10014505865
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Bayesian optimization of hyperparameters from noisy marginal likelihood estimates
Gustafsson, Oskar; Villani, Mattias; Stockhammar, Pär - In: Journal of applied econometrics 38 (2023) 4, pp. 577-595
Persistent link: https://www.econbiz.de/10014288027
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Dependence in constrained Bayesian optimization
Zhang, Shiqiang; Lee, Robert M.; Shafei, Behrang; Walz, … - In: Optimization Letters 18 (2023) 6, pp. 1457-1473
Constrained Bayesian optimization optimizes a black-box objective function subject to black-box constraints. For … totally unknown and (ii) experiments are so expensive that any slightly better Bayesian optimization procedure is preferred …
Persistent link: https://www.econbiz.de/10015404680
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Application of the XGBoost algorithm and Bayesian optimization for the Bitcoin price prediction during the COVID-19 period
Drahokoupil, Jakub - 2022
Persistent link: https://www.econbiz.de/10013262618
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