Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities’ prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed. The conventional approach to symbolic regression, based on genetic pr...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2024-03-01
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| シリーズ: | International Journal of Financial Studies |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2227-7072/12/2/34 |
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