Distributed Inference for Spatial Extremes Modeling in High Dimensions
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Publication:6567924
DOI10.1080/01621459.2023.2186886MaRDI QIDQ6567924
Brian J. Reich, Emily C. Hector
Publication date: 5 July 2024
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Cites Work
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- Large Sample Properties of Generalized Method of Moments Estimators
- Efficient inference and simulation for elliptical Pareto processes
- Likelihood estimators for multivariate extremes
- Non-stationary dependence structures for spatial extremes
- Extremal \(t\) processes: elliptical domain of attraction and a spectral representation
- Stationary max-stable fields associated to negative definite functions
- A spectral representation for max-stable processes
- Models for stationary max-stable random fields
- On spatial extremes: with application to a rainfall problem
- A case study competition among methods for analyzing large spatial data
- On the likelihood function of Gaussian max-stable processes
- Modelling multivariate extreme value distributions
- Statistics for near independence in multivariate extreme values
- Extreme values of independent stochastic processes
- Markov chain models for threshold exceedances
- Consistent Moment Selection Procedures for Generalized Method of Moments Estimation
- Local Likelihood Smoothing of Sample Extremes
- The Multivariate Gaussian Tail Model: An Application to Oceanographic Data
- A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
- Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty
- Space–Time Modelling of Extreme Events
- Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to U.S. Precipitation Extremes
- Nonlinear and Stochastic Climate Dynamics
- Likelihood-Based Inference for Max-Stable Processes
- Geostatistics of extremes
- Efficient inference for spatial extreme value processes associated to log-Gaussian random functions
- Composite likelihood estimation for the Brown-Resnick process
- Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes
- An introduction to statistical modeling of extreme values
- Statistical modeling of spatial extremes
- Full likelihood inference for max-stable data
- Advances in statistical modeling of spatial extremes
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