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  • Search: subject:"Gaussian process regression"
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Year of publication
Subject
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Gaussian process regression 46 Stochastic process 24 Stochastischer Prozess 24 Artificial intelligence 15 Gaussian process 15 Gauß-Prozess 15 Künstliche Intelligenz 15 Theorie 14 Theory 14 Forecasting model 13 Prognoseverfahren 13 Estimation theory 12 Regression analysis 12 Regressionsanalyse 12 Schätztheorie 12 Bayes-Statistik 10 Bayesian inference 10 Bayesian optimization 6 Machine learning 6 machine learning 6 Immobilienpreis 5 Option pricing theory 5 Optionspreistheorie 5 Real estate price 5 Cross-validation 4 Neural networks 4 Simulation 4 China 3 Chinese market 3 Forecast 3 Neuronale Netze 3 Portfolio selection 3 Portfolio-Management 3 Price forecasting 3 Statistical distribution 3 Statistische Verteilung 3 Support vector regression 3 Adam optimizer 2 Artificial neural networks 2 Bayesian Gaussian process regression 2
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Online availability
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Undetermined 27 Free 19 CC license 11
Type of publication
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Article 46 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 37 Aufsatz in Zeitschrift 37 Arbeitspapier 3 Article 3 Graue Literatur 3 Non-commercial literature 3 Working Paper 3 research-article 1
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Language
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English 45 Undetermined 4
Author
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Xu, Xiaojie 6 Jin, Bingzi 5 Claveria, Oscar 3 Monte, Enric 3 Torra, Salvador 3 Goudenège, Ludovic 2 Gümbel, Sandrine 2 Madan, Dilip B. 2 Molent, Andrea 2 Nonaka, Hirofumi 2 Schmidt, Thorsten 2 Schoutens, Wim 2 Wang, King 2 Yamashiro, Hirochika 2 Zanette, Antonino 2 Ahmed, Nesreen 1 Ajlouni, Sameh Asim 1 Alamaniotis, Miltiadis 1 Alodat, Moh'd Taleb 1 Ang, Zi Qing 1 Aslani, Babak 1 Atiya, Amir 1 Avdoulas, Christos 1 Bae, Joonho 1 Barajas-Solano, David A. 1 Bekiros, Stelios 1 Branke, Juergen 1 Carraro, L. 1 Chen, Chun-hung 1 Chen, Kuilin 1 Cheraghi, Amirhossein 1 Choi, Jeonghye 1 Das, Abhinav 1 Dearmon, Jacob 1 Del Valle, Sara Y. 1 Delucchi, Alessio 1 Durrande, N. 1 Ehmke, Jan Fabian 1 El-Shishiny, Hisham 1 Emvalomatis, Grigorios 1
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Published in...
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European journal of operational research : EJOR 3 Decision analytics journal 2 Insurance / Mathematics & economics 2 International Journal of Energy Economics and Policy : IJEEP 2 International journal of empirical economics 2 Operations research 2 Quantitative finance 2 Risks : open access journal 2 Annals of finance 1 Applied Energy 1 Applied economics letters 1 Asian journal of economics and banking : AJEB 1 Computational and mathematical organization theory 1 Decisions in economics and finance : a journal of applied mathematics 1 Econometric Reviews 1 Energy 1 International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) 1 International journal of forecasting 1 International transactions in operational research : a journal of the International Federation of Operational Research Societies 1 Journal of Modelling in Management 1 Journal of Multivariate Analysis 1 Journal of business research : JBR 1 Journal of risk management in financial institutions 1 Journal of wine economics 1 Omega : the international journal of management science 1 Operations Research Perspectives 1 Operations research forum 1 Operations research perspectives 1 Research and policy notes 1 Research paper series / Swiss Finance Institute 1 Risk management magazine 1 Risks 1 SERIEs - Journal of the Spanish Economic Association 1 SERIEs : Journal of the Spanish Economic Association 1 Swiss Finance Institute Research Paper 1 The econometrics journal 1 The journal of computational finance 1 Transportation research : an international journal 1
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Source
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ECONIS (ZBW) 40 RePEc 4 EconStor 3 Other ZBW resources 2
Showing 1 - 10 of 49
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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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Gaussian process regression with a hybrid risk measure for dynamic risk management in the electricity market
Das, Abhinav; Schlüter, Stephan - In: Risks : open access journal 13 (2025) 1, pp. 1-18
budget using the aforementioned measures to minimize the financial risk. To generate price predictions, a Gaussian process … regression model is used. The aim of this hybrid approach is to design a model that is easily understandable but allows for a …
Persistent link: https://www.econbiz.de/10015333597
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Forecasts of residential real estate price indices for ten major Chinese cities through Gaussian process regressions
Jin, Bingzi; Xu, Xiaojie - In: International journal of empirical economics 4 (2025) 1, pp. 1-24
Due to the rapid growth of the Chinese housing market over the past ten years, forecasting home prices has become a crucial issue for investors and authorities alike. In this research, utilising Bayesian optimisations and cross validation, we investigate Gaussian process regressions across...
Persistent link: https://www.econbiz.de/10015374007
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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
account estimates for this significant commodity price measurement. In this instance, Gaussian process regression methods are …
Persistent link: https://www.econbiz.de/10015194297
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Learn to decompose multiobjective optimization models for large-scale networks
Aslani, Babak; Mohebbi, Shima - In: International transactions in operational research : a … 31 (2024) 2, pp. 949-978
Persistent link: https://www.econbiz.de/10014441148
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Modeling the interest rates term structure using Machine Learning : a Gaussian process regression approach
Delucchi, Alessio; Giribone, Pier Giuseppe - In: Risk management magazine 18 (2023) 3, pp. 16-35
The correct modeling of the interest rates term structure should definitely be considered an aspect of primary importance since the forward rates and the discount factors used in any financial and risk analysis are calculated from such structure. The turbulence of the markets in recent years,...
Persistent link: https://www.econbiz.de/10014491969
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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 …, followed by Gaussian process regression and support vector regression. In addition, all three aforementioned predictive systems …
Persistent link: https://www.econbiz.de/10014505865
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A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation
Xu, Xiaojie; Zhang, Yun - In: Decision analytics journal 8 (2023), pp. 1-12
to 2021 through monthly data and Gaussian process regression models. We examine ten kernels, four basis functions, and …
Persistent link: https://www.econbiz.de/10014516551
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A comprehensive machine learning framework for dynamic portfolio choice with transaction costs
Gaegauf, Luca; Scheidegger, Simon; Trojani, Fabio - 2023
Persistent link: https://www.econbiz.de/10014483248
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Optimal computation budget allocation with Gaussian process regression
Hu, Mingjie; Xu, Jie; Chen, Chun-hung; Hu, Jian-Qiang - In: European journal of operational research : EJOR 322 (2025) 1, pp. 147-156
Persistent link: https://www.econbiz.de/10015410151
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