Tuning the Bivariate Meta-Gaussian Distribution Conditionally in Quantifying Precipitation Prediction Uncertainty
One of the ways to quantify uncertainty of deterministic forecasts is to construct a joint distribution between the forecast variable and the observed variable; then, the uncertainty of the forecast can be represented by the conditional distribution of the observed given the forecast. The joint dist...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Forecasting |
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| Online Access: | https://www.mdpi.com/2571-9394/2/1/1 |