Pages that link to "Item:Q321454"
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The following pages link to Non-stationary dependence structures for spatial extremes (Q321454):
Displaying 37 items.
- A flexible dependence model for spatial extremes (Q256468) (← links)
- Extremes on river networks (Q262381) (← links)
- Guest editors' introduction to the special issue on ``Seismomatics: space-time analysis of natural or anthropogenic catastrophes'' (Q321441) (← links)
- Asymptotic models and inference for extremes of spatio-temporal data (Q650739) (← links)
- Estimation of spatial max-stable models using threshold exceedances (Q892811) (← links)
- Nonparametric spatial models for extremes: application to extreme temperature data (Q907383) (← links)
- Diagnostics for pairwise extremal dependence in spatial processes (Q1424684) (← links)
- Time-varying extreme value dependence with application to leading European stock markets (Q1647611) (← links)
- A Bayesian hierarchical model for spatial extremes with multiple durations (Q1659481) (← links)
- A class of goodness-of-fit tests for spatial extremes models based on max-stable processes (Q1747431) (← links)
- Non-linear models for extremal dependence (Q2011517) (← links)
- Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes (Q2028570) (← links)
- A regionalisation approach for rainfall based on extremal dependence (Q2028583) (← links)
- Modelling extremes of spatial aggregates of precipitation using conditional methods (Q2080785) (← links)
- Space-time trend detection and dependence modeling in extreme event approaches by functional peaks-over-thresholds: application to precipitation in Burkina Faso (Q2081845) (← links)
- Modeling spatial tail dependence with Cauchy convolution processes (Q2106793) (← links)
- Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude (Q2135353) (← links)
- An extreme value Bayesian Lasso for the conditional left and right tails (Q2163510) (← links)
- Fitting spatial max-mixture processes with unknown extremal dependence class: an exploratory analysis tool (Q2195748) (← links)
- High-dimensional inference using the extremal skew-\(t\) process (Q2231315) (← links)
- Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes (Q2311596) (← links)
- Random tessellations associated with max-stable random fields (Q2405174) (← links)
- Spatial extremes: models for the stationary case (Q2493550) (← links)
- Dependence modelling for spatial extremes (Q2892085) (← links)
- Models for Extremal Dependence Derived from Skew-symmetric Families (Q2965533) (← links)
- Modelling pairwise dependence of maxima in space (Q3613149) (← links)
- Factor Copula Models for Replicated Spatial Data (Q4690973) (← links)
- Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling (Q5066459) (← links)
- On the performance of the Bayesian composite likelihood estimation of max-stable processes (Q5106978) (← links)
- Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes (Q5120643) (← links)
- Modeling Spatial Processes with Unknown Extremal Dependence Class (Q5229925) (← links)
- Full likelihood inference for max-stable data (Q6541493) (← links)
- Distributed Inference for Spatial Extremes Modeling in High Dimensions (Q6567924) (← links)
- Max-convolution processes with random shape indicator kernels (Q6596184) (← links)
- Advances in statistical modeling of spatial extremes (Q6602343) (← links)
- Space-time trends and dependence of precipitation extremes in north-western Germany (Q6626142) (← links)
- Spatial deformation for nonstationary extremal dependence (Q6626395) (← links)
