Pages that link to "Item:Q1792632"
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The following pages link to INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles (Q1792632):
Displaying 28 items.
- Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes (Q2028570) (← links)
- Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures (Q2028571) (← links)
- Parametric models for distributions when interest is in extremes with an application to daily temperature (Q2028588) (← links)
- Max-and-smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models (Q2057335) (← links)
- Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
- Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution (Q2102980) (← links)
- Approximate Bayesian inference for analysis of spatiotemporal flood frequency data (Q2154186) (← links)
- High-resolution Bayesian mapping of landslide hazard with unobserved trigger event (Q2170422) (← links)
- Some statistical issues in climate science (Q2218015) (← links)
- Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model (Q2245130) (← links)
- Improved return level estimation via a weighted likelihood, latent spatial extremes model (Q2272998) (← links)
- A spliced gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting (Q2273005) (← links)
- Spatiotemporal wildfire modeling through point processes with moderate and extreme marks (Q2686054) (← links)
- Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes (Q5120643) (← links)
- A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation (Q5857128) (← links)
- Gradient boosting with extreme-value theory for wildfire prediction (Q6100555) (← links)
- Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach (Q6100559) (← links)
- A modeler's guide to extreme value software (Q6144812) (← links)
- High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields (Q6144814) (← links)
- An efficient workflow for modelling high-dimensional spatial extremes (Q6581672) (← links)
- Spatial modeling with R-INLA: a review (Q6602213) (← links)
- Advances in statistical modeling of spatial extremes (Q6602343) (← links)
- Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland (Q6626163) (← links)
- Spatial hierarchical modeling of threshold exceedances using rate mixtures (Q6626383) (← links)
- Spatial deformation for nonstationary extremal dependence (Q6626395) (← links)
- Practical strategies for generalized extreme value-based regression models for extremes (Q6626492) (← links)
- Modelling non-stationarity in asymptotically independent extremes (Q6626684) (← links)
- Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning (Q6637459) (← links)
