Pages that link to "Item:Q1792629"
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The following pages link to A Bayesian spatio-temporal model for precipitation extremes -- STOR team contribution to the EVA2017 challenge (Q1792629):
Displaying 10 items.
- Synoptic airflow and UK daily precipitation extremes: development and validation of a vector generalized linear model (Q549640) (← links)
- A Bayesian hierarchical model for spatial extremes with multiple durations (Q1659481) (← links)
- Editorial: Special issue on the extreme value analysis conference challenge ``prediction of extremal precipitation'' (Q1792625) (← links)
- INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles (Q1792632) (← links)
- Prediction of extremal precipitation by quantile regression forests: from SNU multiscale team (Q1792636) (← links)
- The MELBS team winning entry for the EVA2017 competition for spatiotemporal prediction of extreme rainfall using generalized extreme value quantiles (Q1792637) (← links)
- Estimation of spatio-temporal extreme distribution using a quantile factor model (Q2028577) (← links)
- Modelling dependency effect to extreme value distributions with application to extreme wind speed at Port Elizabeth, South Africa: a frequentist and Bayesian approaches (Q2203431) (← links)
- A Bayesian semi-parametric mixture model for bivariate extreme value analysis with application to precipitation forecasting (Q5155203) (← links)
- A Bayesian spatial hierarchical model for extreme precipitation in Great Britain (Q6626027) (← links)
