Modeling extremal dependence in multivariate and spatial problems: a practical perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Beranger, Boris, Padoan, Simone A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast and flexible inference for spatial extremes
by: Zhong, Peng, et al.
Published: (2024)
by: Zhong, Peng, et al.
Published: (2024)
Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
by: Krupskii, Pavel, et al.
Published: (2025)
by: Krupskii, Pavel, et al.
Published: (2025)
Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
by: Shi, Muyang, et al.
Published: (2024)
by: Shi, Muyang, et al.
Published: (2024)
A Kullback-Leibler divergence test for multivariate extremes: theory and practice
by: Engelke, Sebastian, et al.
Published: (2026)
by: Engelke, Sebastian, et al.
Published: (2026)
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
by: Urdangarin, A., et al.
Published: (2023)
by: Urdangarin, A., et al.
Published: (2023)
Piecewise-linear modeling of multivariate geometric extremes
by: Campbell, Ryan, et al.
Published: (2024)
by: Campbell, Ryan, et al.
Published: (2024)
Hypothesis testing for partial tail correlation in multivariate extremes
by: Kim, Mihyun, et al.
Published: (2022)
by: Kim, Mihyun, et al.
Published: (2022)
Inside-out cross-covariance for spatial multivariate data
by: Peruzzi, Michele
Published: (2024)
by: Peruzzi, Michele
Published: (2024)
Pseudo-spectra of multivariate inhomogeneous spatial point processes
by: Ding, Qi-Wen, et al.
Published: (2025)
by: Ding, Qi-Wen, et al.
Published: (2025)
A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)
by: Hu, Chenglei, et al.
Published: (2024)
Analysing symbolic data by pseudo-marginal methods
by: Yang, Yu, et al.
Published: (2024)
by: Yang, Yu, et al.
Published: (2024)
Fixed Rank co-Kriging: a model for multivariate spatial prediction
by: Caringi, Gaia, et al.
Published: (2026)
by: Caringi, Gaia, et al.
Published: (2026)
Mahalanobis balancing: a multivariate perspective on approximate covariate balancing
by: Dai, Yimin, et al.
Published: (2022)
by: Dai, Yimin, et al.
Published: (2022)
A multivariate spatial model for ordinal survey-based data
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)
by: Beltrán-Sánchez, Miguel Ángel, et al.
Published: (2025)
Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
by: Yarger, Drew
Published: (2026)
by: Yarger, Drew
Published: (2026)
Weak instruments in multivariable Mendelian randomization: methods and practice
by: Patel, Ashish, et al.
Published: (2024)
by: Patel, Ashish, et al.
Published: (2024)
Statistical Prediction of Peaks Over a Threshold
by: Padoan, Simone A., et al.
Published: (2025)
by: Padoan, Simone A., et al.
Published: (2025)
Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution
by: Alotaibi, Noura, et al.
Published: (2025)
by: Alotaibi, Noura, et al.
Published: (2025)
Modeling temporal dependency of longitudinal data: use of multivariate geometric skew-normal copula
by: Chattopadhyay, Subhajit
Published: (2024)
by: Chattopadhyay, Subhajit
Published: (2024)
Regularized estimation for highly multivariate spatial Gaussian random fields
by: Cuevas-Pacheco, Francisco, et al.
Published: (2026)
by: Cuevas-Pacheco, Francisco, et al.
Published: (2026)
A multivariate spatial regression model using signatures
by: Frévent, Camille, et al.
Published: (2024)
by: Frévent, Camille, et al.
Published: (2024)
On minimum contrast method for multivariate spatial point processes
by: Zhu, Lin, et al.
Published: (2022)
by: Zhu, Lin, et al.
Published: (2022)
Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso
by: Krock, Mitchell, et al.
Published: (2021)
by: Krock, Mitchell, et al.
Published: (2021)
Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models
by: Miao, Xin, et al.
Published: (2025)
by: Miao, Xin, et al.
Published: (2025)
Clustering of multivariate tail dependence using conditional methods
by: O'Toole, Patrick, et al.
Published: (2025)
by: O'Toole, Patrick, et al.
Published: (2025)
Regression modeling of multivariate precipitation extremes under regular variation
by: Yadav, Rishikesh, et al.
Published: (2026)
by: Yadav, Rishikesh, et al.
Published: (2026)
Continuous mixtures of Gaussian processes as models for spatial extremes
by: Dell'Oro, Lorenzo, et al.
Published: (2026)
by: Dell'Oro, Lorenzo, et al.
Published: (2026)
Bayesian spatial+: A joint model perspective
by: Marques, Isa, et al.
Published: (2023)
by: Marques, Isa, et al.
Published: (2023)
Weighted least squares estimation by multivariate-dependent weights for linear regression models
by: Huang, Lei, et al.
Published: (2026)
by: Huang, Lei, et al.
Published: (2026)
Evaluation of binary classifiers for asymptotically dependent and independent extremes
by: Legrand, Juliette, et al.
Published: (2021)
by: Legrand, Juliette, et al.
Published: (2021)
A spatial interference approach to account for mobility in air pollution studies with multivariate continuous treatments
by: Shin, Heejun, et al.
Published: (2023)
by: Shin, Heejun, et al.
Published: (2023)
Global-local shrinkage priors for modeling random effects in multivariate spatial small area estimation
by: Nishina, Shushi, et al.
Published: (2026)
by: Nishina, Shushi, et al.
Published: (2026)
Modeling of spatial extremes in environmental data science: Time to move away from max-stable processes
by: Huser, Raphaël, et al.
Published: (2024)
by: Huser, Raphaël, et al.
Published: (2024)
Asymptotic theory for Bayesian inference and prediction: from the ordinary to a conditional Peaks-Over-Threshold method
by: Dombry, Clément, et al.
Published: (2023)
by: Dombry, Clément, et al.
Published: (2023)
Generalized linear models with spatial dependence and a functional covariate
by: Kim, Sooran, et al.
Published: (2024)
by: Kim, Sooran, et al.
Published: (2024)
Graphical models for multivariate extremes
by: Engelke, Sebastian, et al.
Published: (2024)
by: Engelke, Sebastian, et al.
Published: (2024)
Trends in tail dependence of heteroscedastic extremes
by: Einmahl, John H. J., et al.
Published: (2026)
by: Einmahl, John H. J., et al.
Published: (2026)
Variable screening for covariate dependent extreme value index estimation
by: Yoshida, Takuma, et al.
Published: (2024)
by: Yoshida, Takuma, et al.
Published: (2024)
Modelling multivariate extreme value distributions via Markov trees
by: Hu, Shuang, et al.
Published: (2022)
by: Hu, Shuang, et al.
Published: (2022)
Copula-based models for spatially dependent cylindrical data
by: Labanca, Francesca, et al.
Published: (2026)
by: Labanca, Francesca, et al.
Published: (2026)
Similar Items
-
Fast and flexible inference for spatial extremes
by: Zhong, Peng, et al.
Published: (2024) -
Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
by: Krupskii, Pavel, et al.
Published: (2025) -
Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
by: Shi, Muyang, et al.
Published: (2024) -
A Kullback-Leibler divergence test for multivariate extremes: theory and practice
by: Engelke, Sebastian, et al.
Published: (2026) -
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
by: Urdangarin, A., et al.
Published: (2023)