:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Beranger, Boris, Padoan, Simone A.
Format:	Preprint
Publié:	2024
Sujets:	Methodology
Accès en ligne:	https://arxiv.org/abs/2412.13453
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fast and flexible inference for spatial extremes
par: Zhong, Peng, et autres
Publié: (2024)

Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
par: Krupskii, Pavel, et autres
Publié: (2025)

A Kullback-Leibler divergence test for multivariate extremes: theory and practice
par: Engelke, Sebastian, et autres
Publié: (2026)

Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
par: Shi, Muyang, et autres
Publié: (2024)

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
par: Urdangarin, A., et autres
Publié: (2023)

Statistical Prediction of Peaks Over a Threshold
par: Padoan, Simone A., et autres
Publié: (2025)

Piecewise-linear modeling of multivariate geometric extremes
par: Campbell, Ryan, et autres
Publié: (2024)

Analysing symbolic data by pseudo-marginal methods
par: Yang, Yu, et autres
Publié: (2024)

Hypothesis testing for partial tail correlation in multivariate extremes
par: Kim, Mihyun, et autres
Publié: (2022)

A Bayesian multivariate extreme value mixture model
par: Hu, Chenglei, et autres
Publié: (2024)

Inside-out cross-covariance for spatial multivariate data
par: Peruzzi, Michele
Publié: (2024)

Pseudo-spectra of multivariate inhomogeneous spatial point processes
par: Ding, Qi-Wen, et autres
Publié: (2025)

Mahalanobis balancing: a multivariate perspective on approximate covariate balancing
par: Dai, Yimin, et autres
Publié: (2022)

Fixed Rank co-Kriging: a model for multivariate spatial prediction
par: Caringi, Gaia, et autres
Publié: (2026)

Weak instruments in multivariable Mendelian randomization: methods and practice
par: Patel, Ashish, et autres
Publié: (2024)

Asymptotic theory for Bayesian inference and prediction: from the ordinary to a conditional Peaks-Over-Threshold method
par: Dombry, Clément, et autres
Publié: (2023)

A multivariate spatial model for ordinal survey-based data
par: Beltrán-Sánchez, Miguel Ángel, et autres
Publié: (2025)

Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
par: Yarger, Drew
Publié: (2026)

A multivariate spatial regression model using signatures
par: Frévent, Camille, et autres
Publié: (2024)

On minimum contrast method for multivariate spatial point processes
par: Zhu, Lin, et autres
Publié: (2022)

Regularized estimation for highly multivariate spatial Gaussian random fields
par: Cuevas-Pacheco, Francisco, et autres
Publié: (2026)

Joint modeling of low and high extremes using a multivariate extended generalized Pareto distribution
par: Alotaibi, Noura, et autres
Publié: (2025)

Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso
par: Krock, Mitchell, et autres
Publié: (2021)

Accurate Bayesian inference for tail risk extrapolation in time series
par: Carl, David L., et autres
Publié: (2025)

Modeling temporal dependency of longitudinal data: use of multivariate geometric skew-normal copula
par: Chattopadhyay, Subhajit
Publié: (2024)

Clustering of multivariate tail dependence using conditional methods
par: O'Toole, Patrick, et autres
Publié: (2025)

Regression modeling of multivariate precipitation extremes under regular variation
par: Yadav, Rishikesh, et autres
Publié: (2026)

Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models
par: Miao, Xin, et autres
Publié: (2025)

Graphical models for multivariate extremes
par: Engelke, Sebastian, et autres
Publié: (2024)

Asymptotic theory for the likelihood-based block maxima method in time series
par: Carl, David L., et autres
Publié: (2025)

Continuous mixtures of Gaussian processes as models for spatial extremes
par: Dell'Oro, Lorenzo, et autres
Publié: (2026)

Modelling multivariate extreme value distributions via Markov trees
par: Hu, Shuang, et autres
Publié: (2022)

Bayesian spatial+: A joint model perspective
par: Marques, Isa, et autres
Publié: (2023)

A spatial interference approach to account for mobility in air pollution studies with multivariate continuous treatments
par: Shin, Heejun, et autres
Publié: (2023)

Global-local shrinkage priors for modeling random effects in multivariate spatial small area estimation
par: Nishina, Shushi, et autres
Publié: (2026)

Weighted least squares estimation by multivariate-dependent weights for linear regression models
par: Huang, Lei, et autres
Publié: (2026)

Generative modelling of multivariate geometric extremes using normalising flows
par: De Monte, Lambert, et autres
Publié: (2025)

Evaluation of binary classifiers for asymptotically dependent and independent extremes
par: Legrand, Juliette, et autres
Publié: (2021)

Trends in tail dependence of heteroscedastic extremes
par: Einmahl, John H. J., et autres
Publié: (2026)

Predicting hazards of climate extremes: a statistical perspective
par: Pacifici, Carlotta, et autres
Publié: (2025)