High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields
Fuente:
arXiv
Guardado en:
| Autores principales: | Simpson, Emma S., Opitz, Thomas, Wadsworth, Jennifer L. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2020
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Modeling of spatial extremes in environmental data science: Time to move away from max-stable processes
por: Huser, Raphaël, et al.
Publicado: (2024)
por: Huser, Raphaël, et al.
Publicado: (2024)
Continuous mixtures of Gaussian processes as models for spatial extremes
por: Dell'Oro, Lorenzo, et al.
Publicado: (2026)
por: Dell'Oro, Lorenzo, et al.
Publicado: (2026)
Modeling high and low extremes with a novel dynamic spatio-temporal model
por: Yoo, Myungsoo, et al.
Publicado: (2025)
por: Yoo, Myungsoo, et al.
Publicado: (2025)
Geometric modelling of spatial extremes
por: Kakampakou, Lydia, et al.
Publicado: (2025)
por: Kakampakou, Lydia, et al.
Publicado: (2025)
deepspat: An R package for modeling nonstationary spatial and spatio-temporal Gaussian and extremes data through deep deformations
por: Vu, Quan, et al.
Publicado: (2025)
por: Vu, Quan, et al.
Publicado: (2025)
Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm
por: Tancini, Daniele, et al.
Publicado: (2025)
por: Tancini, Daniele, et al.
Publicado: (2025)
Piecewise-linear modeling of multivariate geometric extremes
por: Campbell, Ryan, et al.
Publicado: (2024)
por: Campbell, Ryan, et al.
Publicado: (2024)
Geometric criteria for identifying extremal dependence and flexible modeling via additive mixtures
por: Lee, Jeongjin, et al.
Publicado: (2025)
por: Lee, Jeongjin, et al.
Publicado: (2025)
Fast spatial simulation of extreme high-resolution radar precipitation data using INLA
por: Vandeskog, Silius M., et al.
Publicado: (2023)
por: Vandeskog, Silius M., et al.
Publicado: (2023)
Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes
por: Lei-Cramer, Carrie J., et al.
Publicado: (2026)
por: Lei-Cramer, Carrie J., et al.
Publicado: (2026)
Regularized estimation for highly multivariate spatial Gaussian random fields
por: Cuevas-Pacheco, Francisco, et al.
Publicado: (2026)
por: Cuevas-Pacheco, Francisco, et al.
Publicado: (2026)
inlamemi: An R package for missing data imputation and measurement error modelling using INLA
por: Skarstein, Emma, et al.
Publicado: (2024)
por: Skarstein, Emma, et al.
Publicado: (2024)
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes
por: D'Angelo, Nicoletta, et al.
Publicado: (2022)
por: D'Angelo, Nicoletta, et al.
Publicado: (2022)
Spatio-temporal Occupancy Models with INLA
por: Belmont, Jafet, et al.
Publicado: (2024)
por: Belmont, Jafet, et al.
Publicado: (2024)
Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
por: Yarger, Drew
Publicado: (2026)
por: Yarger, Drew
Publicado: (2026)
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
por: Roy, Subhrajyoty, et al.
Publicado: (2026)
por: Roy, Subhrajyoty, et al.
Publicado: (2026)
Hidden Markov modelling of spatio-temporal dynamics of measles in 1750-1850 Finland
por: Pasanen, Tiia-Maria, et al.
Publicado: (2024)
por: Pasanen, Tiia-Maria, et al.
Publicado: (2024)
A new framework for non-stationary spatio-temporal data fusion of multi-fidelity models
por: Colombo, Pietro, et al.
Publicado: (2026)
por: Colombo, Pietro, et al.
Publicado: (2026)
Cubature scheme for spatio-temporal Poisson point processes estimation
por: D'Angelo, Nicoletta, et al.
Publicado: (2024)
por: D'Angelo, Nicoletta, et al.
Publicado: (2024)
A Bayesian time-varying random partition model for large spatio-temporal datasets
por: Beltramin, Giulio, et al.
Publicado: (2023)
por: Beltramin, Giulio, et al.
Publicado: (2023)
Neural Bayes estimation and selection for complex bivariate extremal dependence models
por: André, Lídia M., et al.
Publicado: (2025)
por: André, Lídia M., et al.
Publicado: (2025)
Multi-resolution filters via linear projection for large spatio-temporal datasets
por: Hirano, Toshihiro, et al.
Publicado: (2024)
por: Hirano, Toshihiro, et al.
Publicado: (2024)
Spatio-temporal data fusion for the analysis of in situ and remote sensing data using the INLA-SPDE approach
por: He, Shiyu, et al.
Publicado: (2024)
por: He, Shiyu, et al.
Publicado: (2024)
Modelling non-stationarity in asymptotically independent extremes
por: Murphy-Barltrop, C. J. R., et al.
Publicado: (2022)
por: Murphy-Barltrop, C. J. R., et al.
Publicado: (2022)
Minimum contrast for the first-order intensity estimation of spatial and spatio-temporal point processes
por: D'Angelo, Nicoletta, et al.
Publicado: (2023)
por: D'Angelo, Nicoletta, et al.
Publicado: (2023)
Quantile Forecast Matching with a Bayesian Quantile Gaussian Process Model
por: Wadsworth, Spencer, et al.
Publicado: (2025)
por: Wadsworth, Spencer, et al.
Publicado: (2025)
Gratia: An R package for exploring generalized additive models
por: Simpson, Gavin L.
Publicado: (2024)
por: Simpson, Gavin L.
Publicado: (2024)
A Bayesian regression framework for circular models with INLA
por: Ye, Xiang, et al.
Publicado: (2026)
por: Ye, Xiang, et al.
Publicado: (2026)
Characteristic function-based tests for spatial randomness
por: Zeng, Yiran, et al.
Publicado: (2025)
por: Zeng, Yiran, et al.
Publicado: (2025)
Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
por: Rustand, Denis, et al.
Publicado: (2026)
por: Rustand, Denis, et al.
Publicado: (2026)
Bayesian spatio-temporal modelling for infectious disease outbreak detection
por: Adeoye, Matthew, et al.
Publicado: (2025)
por: Adeoye, Matthew, et al.
Publicado: (2025)
Bayesian survival analysis with INLA
por: Alvares, Danilo, et al.
Publicado: (2022)
por: Alvares, Danilo, et al.
Publicado: (2022)
Random spanning tree Markov random field priors for Bayesian inverse problems in imaging
por: Everink, Jasper Marijn
Publicado: (2026)
por: Everink, Jasper Marijn
Publicado: (2026)
Estimating the limiting shape of bivariate scaled sample clouds: with additional benefits of self-consistent inference for existing extremal dependence properties
por: Simpson, Emma S., et al.
Publicado: (2022)
por: Simpson, Emma S., et al.
Publicado: (2022)
Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
por: Shi, Muyang, et al.
Publicado: (2024)
por: Shi, Muyang, et al.
Publicado: (2024)
A spatio-temporal model to detect potential outliers in disease mapping
por: Michal, Victoire, et al.
Publicado: (2024)
por: Michal, Victoire, et al.
Publicado: (2024)
Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
por: Murakami, Daisuke, et al.
Publicado: (2024)
por: Murakami, Daisuke, et al.
Publicado: (2024)
Efficient bayesian spatially varying coefficients modeling for censored data using the vecchia approximation
por: Idir, Yacine Mohamed, et al.
Publicado: (2025)
por: Idir, Yacine Mohamed, et al.
Publicado: (2025)
Spatial extremal modelling: A case study on the interplay between margins and dependence
por: Kakampakou, Lydia, et al.
Publicado: (2024)
por: Kakampakou, Lydia, et al.
Publicado: (2024)
Fast and scalable inference in hidden Markov models with Gaussian fields
por: Fischer, Jan-Ole
Publicado: (2026)
por: Fischer, Jan-Ole
Publicado: (2026)
Ejemplares similares
-
Modeling of spatial extremes in environmental data science: Time to move away from max-stable processes
por: Huser, Raphaël, et al.
Publicado: (2024) -
Continuous mixtures of Gaussian processes as models for spatial extremes
por: Dell'Oro, Lorenzo, et al.
Publicado: (2026) -
Modeling high and low extremes with a novel dynamic spatio-temporal model
por: Yoo, Myungsoo, et al.
Publicado: (2025) -
Geometric modelling of spatial extremes
por: Kakampakou, Lydia, et al.
Publicado: (2025) -
deepspat: An R package for modeling nonstationary spatial and spatio-temporal Gaussian and extremes data through deep deformations
por: Vu, Quan, et al.
Publicado: (2025)