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  • Search: subject:"Bayesian Neural Networks"
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Year of publication
Subject
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Bayesian neural networks 7 Bayes-Statistik 4 Bayesian inference 4 Forecasting model 4 Neural networks 4 Neuronale Netze 4 Prognoseverfahren 4 Theorie 3 Theory 3 Time series analysis 2 Uncertainty 2 Zeitreihenanalyse 2 Adaptive learning 1 Artificial intelligence 1 Bayesian Neural Networks 1 Bayesian model averaging 1 Customer satisfaction 1 Customer satisfaction index 1 Deep Learning 1 Ensemble Learning 1 Evolutionary Monte Carlo 1 Financial market 1 Finanzmarkt 1 Gibbs posteriors 1 Heterogeneous gene expression temporal patterns 1 Hierarchical Bayesian Neural Networks 1 Hybrid Monte Carlo 1 Hydrologic modeling 1 Hyper-prior 1 Künstliche Intelligenz 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Loss-based Bayesian forecasting 1 M4 forecasting competition 1 Machine Learning 1 Macro forecasting 1 Model selection 1 Monte Carlo Markov Chain 1
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Online availability
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Undetermined 6 Free 3
Type of publication
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Article 6 Book / Working Paper 3
Type of publication (narrower categories)
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Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Working Paper 3 Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
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Language
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English 5 Undetermined 4
Author
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Blonbou, Ruddy 1 Calster, Ben Van 1 Fahrettin Demirel, Omer 1 Frazier, David T. 1 Hauzenberger, Niko 1 Huber, Florian 1 Huffel, Sabine Van 1 Iosifidis, Alexandros 1 Kelemen, Arpad 1 Kim, Soohyon 1 Klieber, Karin 1 Koo, Bonsoo 1 Liang, Yulan 1 Loiza-Maya, Ruben 1 Magris, Martin 1 Marcellino, Massimiliano 1 Martin, Gael M. 1 Oztekin, Asil 1 Shabani, Mostafa 1 Smits, Tim 1 Turkyilmaz, Ali 1 Zaim, Selim 1 Zhang, Xuesong 1 Zhao, Kaiguang 1
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Published in...
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BOK working paper 1 Discussion papers / CEPR 1 Industrial Management & Data Systems 1 Journal of Quantitative Analysis in Sports 1 Journal of forecasting 1 Renewable Energy 1 Statistical Applications in Genetics and Molecular Biology 1 Water Resources Management 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
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Source
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ECONIS (ZBW) 4 RePEc 4 Other ZBW resources 1
Showing 1 - 9 of 9
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Bayesian bilinear neural network for predicting the mid-price dynamics in limit-order book markets
Magris, Martin; Shabani, Mostafa; Iosifidis, Alexandros - In: Journal of forecasting 42 (2023) 6, pp. 1407-1428
Persistent link: https://www.econbiz.de/10014338908
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Bayesian neural networks for macroeconomic analysis
Hauzenberger, Niko; Huber, Florian; Klieber, Karin; … - 2024
Persistent link: https://www.econbiz.de/10015057285
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Loss-based variational Bayes prediction
Frazier, David T.; Loiza-Maya, Ruben; Martin, Gael M.; … - 2021
Persistent link: https://www.econbiz.de/10012614593
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Macroeconomic and financial market analyses and predictions through deep learning
Kim, Soohyon - 2020
Persistent link: https://www.econbiz.de/10012546997
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Universal structure modeling approach to customer satisfaction index
Turkyilmaz, Ali; Oztekin, Asil; Zaim, Selim; Fahrettin … - In: Industrial Management & Data Systems 113 (2013) 7, pp. 932-949
modeling with Bayesian neural networks. Findings – The findings of this study reveal that quality has the most important impact …
Persistent link: https://www.econbiz.de/10014826360
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Bayesian Neural Networks for Uncertainty Analysis of Hydrologic Modeling: A Comparison of Two Schemes
Zhang, Xuesong; Zhao, Kaiguang - In: Water Resources Management 26 (2012) 8, pp. 2365-2382
Bayesian Neural Networks (BNNs) have been shown as useful tools to analyze modeling uncertainty of Neural Networks (NNs …
Persistent link: https://www.econbiz.de/10010847315
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Very short-term wind power forecasting with neural networks and adaptive Bayesian learning
Blonbou, Ruddy - In: Renewable Energy 36 (2011) 3, pp. 1118-1124
This article presents an adaptive very short-term wind power prediction scheme that uses an artificial neural network as predictor along with adaptive Bayesian learning and Gaussian process approximation. A set of recent wind speed measurements samples composes the predictor’s inputs. The...
Persistent link: https://www.econbiz.de/10011044765
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The Curse of Scoreless Draws in Soccer: The Relationship with a Team's Offensive, Defensive, and Overall Performance
Calster, Ben Van; Smits, Tim; Huffel, Sabine Van - In: Journal of Quantitative Analysis in Sports 4 (2008) 1, pp. 4-4
In soccer, a scoreless draw is typically considered as an unwanted result that often jeopardizes the spectacle value of the game. In the present work, we tried to investigate a) how common scoreless draws are, and b) the relationship between scoreless draws and other indices of a football team's...
Persistent link: https://www.econbiz.de/10005459192
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Hierarchical Bayesian Neural Network for Gene Expression Temporal Patterns
Liang, Yulan; Kelemen, Arpad - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 20-20
There are several important issues to be addressed for gene expression temporal patterns' analysis: first, the correlation structure of multidimensional temporal data; second, the numerous sources of variations with existing high level noise; and last, gene expression mostly involves heterogeneous...
Persistent link: https://www.econbiz.de/10005585103
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