Pages that link to "Item:Q4632677"
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The following pages link to Statistical Inference for Max-Stable Processes in Space and Time (Q4632677):
Displaying 29 items.
- Non-stationary dependence structures for spatial extremes (Q321454) (← links)
- Max-stable processes for modeling extremes observed in space and time (Q395885) (← links)
- Conditional sampling for max-stable processes with a mixed moving maxima representation (Q483523) (← links)
- Models for stationary max-stable random fields (Q1424664) (← links)
- Tail measure and spectral tail process of regularly varying time series (Q1634191) (← links)
- A Bayesian hierarchical model for spatial extremes with multiple durations (Q1659481) (← links)
- A spatio-temporal model for Red Sea surface temperature anomalies (Q2028573) (← links)
- Spatio-temporal prediction of missing temperature with stochastic Poisson equations. The LC2019 team winning entry for the EVA 2019 data competition (Q2028576) (← links)
- Semiparametric estimation for space-time max-stable processes: an \(F\)-madogram-based approach (Q2046292) (← links)
- Extremes and regular variation (Q2080146) (← links)
- Whittle estimation based on the extremal spectral density of a heavy-tailed random field (Q2105071) (← links)
- Generalised least squares estimation of regularly varying space-time processes based on flexible observation schemes (Q2311596) (← links)
- Extreme value analysis of multivariate high-frequency wind speed data (Q2320812) (← links)
- Semiparametric estimation for isotropic max-stable space-time processes (Q2325332) (← links)
- Exact simulation of Brown-Resnick random fields at a finite number of locations (Q2352979) (← links)
- Random tessellations associated with max-stable random fields (Q2405174) (← links)
- Extremal behavior of squared Bessel processes attracted by the Brown-Resnick process (Q2512856) (← links)
- Tail and quantile estimation for real-valued \(\beta\)-mixing spatial data (Q2693222) (← 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)
- Hierarchical Space-Time Modeling of Asymptotically Independent Exceedances With an Application to Precipitation Data (Q5130596) (← links)
- Space‒time max-stable models with spectral separability (Q5197397) (← links)
- NONPARAMETRIC PREDICTION WITH SPATIAL DATA (Q6078281) (← links)
- Neural networks for parameter estimation in intractable models (Q6115548) (← links)
- Bayesian modeling of discrete-time point-referenced spatio-temporal data (Q6149602) (← links)
- Visuanimation in statistics (Q6538490) (← links)
- Full likelihood inference for max-stable data (Q6541493) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
- Spatiotemporal modeling of hydrological return levels: a quantile regression approach (Q6626044) (← links)
