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Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic
Recently, there has been much attention in the use of machine learning methods, particularly deep learning for stock price prediction. A major limitation of conventional deep learning is uncertainty quantification in predictions which affect investor confidence. Bayesian neural networks feature Baye...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248663/ https://www.ncbi.nlm.nih.gov/pubmed/34197473 http://dx.doi.org/10.1371/journal.pone.0253217 |