Pages that link to "Item:Q6602343"
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The following pages link to Advances in statistical modeling of spatial extremes (Q6602343):
Displaying 11 items.
- Distributed Inference for Spatial Extremes Modeling in High Dimensions (Q6567924) (← links)
- Regular variation in Hilbert spaces and principal component analysis for functional extremes (Q6570492) (← links)
- An efficient workflow for modelling high-dimensional spatial extremes (Q6581672) (← links)
- Likelihood-Free Parameter Estimation with Neural Bayes Estimators (Q6585610) (← links)
- Max-convolution processes with random shape indicator kernels (Q6596184) (← links)
- Spatial extremes and stochastic geometry for Gaussian-based peaks-over-threshold processes (Q6601111) (← links)
- Spatial hierarchical modeling of threshold exceedances using rate mixtures (Q6626383) (← links)
- Stable sums to infer high return levels of multivariate rainfall time series (Q6626593) (← links)
- A hierarchical Bayesian non-asymptotic extreme value model for spatial data (Q6626619) (← links)
- Fast parameter estimation of generalized extreme value distribution using neural networks (Q6626658) (← links)
- Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning (Q6637459) (← links)
