Pages that link to "Item:Q2028570"
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The following pages link to Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes (Q2028570):
Displaying 8 items.
- Editorial: Special issue on the extreme value analysis conference challenge ``prediction of extremal precipitation'' (Q1792625) (← links)
- Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures (Q2028571) (← links)
- A spatio-temporal model for Red Sea surface temperature anomalies (Q2028573) (← links)
- BlackBox: generalizable reconstruction of extremal values from incomplete spatio-temporal data (Q2028575) (← links)
- Spatio-temporal prediction of missing temperature with stochastic Poisson equations. The LC2019 team winning entry for the EVA 2019 data competition (Q2028576) (← links)
- Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model (Q2245130) (← links)
- Likelihood-Free Parameter Estimation with Neural Bayes Estimators (Q6585610) (← links)
- Recognizing a spatial extreme dependence structure: a deep learning approach (Q6626446) (← links)
