Fast and flexible inference for spatial extremes
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhong, Peng, Sisson, Scott A., Beranger, Boris |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Modeling extremal dependence in multivariate and spatial problems: a practical perspective
por: Beranger, Boris, et al.
Publicado: (2024)
por: Beranger, Boris, et al.
Publicado: (2024)
Predictive variational inference for flexible regression models
por: Kock, Lucas, et al.
Publicado: (2026)
por: Kock, Lucas, et al.
Publicado: (2026)
Analysing symbolic data by pseudo-marginal methods
por: Yang, Yu, et al.
Publicado: (2024)
por: Yang, Yu, et al.
Publicado: (2024)
Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
por: Krupskii, Pavel, et al.
Publicado: (2025)
por: Krupskii, Pavel, et al.
Publicado: (2025)
Reversible jump Markov chain Monte Carlo and multi-model samplers
por: Fan, Yanan, et al.
Publicado: (2010)
por: Fan, Yanan, et al.
Publicado: (2010)
Fast and robust cross-validation-based scoring rule inference for spatial statistics
por: Olafsdottir, Helga Kristin, et al.
Publicado: (2024)
por: Olafsdottir, Helga Kristin, et al.
Publicado: (2024)
A correlated pseudo-marginal approach to doubly intractable problems
por: Yang, Yu, et al.
Publicado: (2022)
por: Yang, Yu, et al.
Publicado: (2022)
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)
A causal inference framework for spatial confounding
por: Gilbert, Brian, et al.
Publicado: (2021)
por: Gilbert, Brian, et al.
Publicado: (2021)
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
por: Kang, Bokgyeong, et al.
Publicado: (2023)
por: Kang, Bokgyeong, et al.
Publicado: (2023)
Disentangling spatial interference and spatial confounding biases in causal inference
por: Ogunsola, Isqeel, et al.
Publicado: (2026)
por: Ogunsola, Isqeel, et al.
Publicado: (2026)
Effective and flexible depth-based inference for functional parameters
por: Yeon, Hyemin
Publicado: (2026)
por: Yeon, Hyemin
Publicado: (2026)
High dimensional inference for extreme value indices
por: Chen, Liujun, et al.
Publicado: (2024)
por: Chen, Liujun, et al.
Publicado: (2024)
Asymptotics for EBLUPs within crossed mixed effect models
por: Lyu, Ziyang, et al.
Publicado: (2025)
por: Lyu, Ziyang, et al.
Publicado: (2025)
Nonparametric inference for nonstationary spatial point processes
por: Nolau, Izabel, et al.
Publicado: (2025)
por: Nolau, Izabel, et al.
Publicado: (2025)
Variational Transdimensional Inference
por: Davies, Laurence, et al.
Publicado: (2025)
por: Davies, Laurence, et al.
Publicado: (2025)
Automated threshold selection and associated inference uncertainty for univariate extremes
por: Murphy, Conor, et al.
Publicado: (2023)
por: Murphy, Conor, et al.
Publicado: (2023)
Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
por: Rustand, Denis, et al.
Publicado: (2022)
por: Rustand, Denis, et al.
Publicado: (2022)
Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization
por: Wang, Bingkai, et al.
Publicado: (2024)
por: Wang, Bingkai, 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)
Efficient estimation for flexible spatial zero-inflated models with environmental applications
por: Shen, Chung-Wei, et al.
Publicado: (2025)
por: Shen, Chung-Wei, et al.
Publicado: (2025)
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 flexible and interpretable spatial covariance model for data on graphs
por: Christensen, Michael F., et al.
Publicado: (2022)
por: Christensen, Michael F., et al.
Publicado: (2022)
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)
Statistical inference for radial generalized Pareto distributions and return sets in geometric extremes
por: Papastathopoulos, Ioannis, et al.
Publicado: (2023)
por: Papastathopoulos, Ioannis, et al.
Publicado: (2023)
Increasing dimension asymptotics for two-way crossed mixed effect models
por: Lyu, Ziyang, et al.
Publicado: (2024)
por: Lyu, Ziyang, et al.
Publicado: (2024)
On the inverse of covariance matrices for unbalanced crossed designs
por: Lyu, Ziyang, et al.
Publicado: (2025)
por: Lyu, Ziyang, et al.
Publicado: (2025)
Calibrated Multivariate Regression with Localized PIT Mappings
por: Kock, Lucas, et al.
Publicado: (2024)
por: Kock, Lucas, et al.
Publicado: (2024)
Inhomogeneous continuous-time Markov chains to infer flexible time-varying evolutionary rates
por: Datta, Pratyusa, et al.
Publicado: (2025)
por: Datta, Pratyusa, et al.
Publicado: (2025)
Fast and scalable inference in hidden Markov models with Gaussian fields
por: Fischer, Jan-Ole
Publicado: (2026)
por: Fischer, Jan-Ole
Publicado: (2026)
Bayesian inference for functional extreme events defined via partially unobserved processes
por: Thannheimer, Max, et al.
Publicado: (2025)
por: Thannheimer, Max, et al.
Publicado: (2025)
Borrowing from historical control data in a Bayesian time-to-event model with flexible baseline hazard function
por: Scott, Darren A. V., et al.
Publicado: (2024)
por: Scott, Darren A. V., et al.
Publicado: (2024)
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)
The flexible Gumbel distribution: A new model for inference about the mode
por: Liu, Qingyang, et al.
Publicado: (2022)
por: Liu, Qingyang, et al.
Publicado: (2022)
Geometric modelling of spatial extremes
por: Kakampakou, Lydia, et al.
Publicado: (2025)
por: Kakampakou, Lydia, et al.
Publicado: (2025)
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)
Calibrated Bayesian inference for random fields on large irregular domains using the debiased spatial Whittle likelihood
por: Goodwin, Thomas, et al.
Publicado: (2025)
por: Goodwin, Thomas, et al.
Publicado: (2025)
Bayesian spatial functional data clustering: applications in disease surveillance
por: Zhong, Ruiman, et al.
Publicado: (2024)
por: Zhong, Ruiman, et al.
Publicado: (2024)
Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
por: Pakrashi, Anis, et al.
Publicado: (2024)
por: Pakrashi, Anis, et al.
Publicado: (2024)
BARTSIMP: flexible spatial covariate modeling and prediction using Bayesian additive regression trees
por: Jiang, Alex Ziyu, et al.
Publicado: (2023)
por: Jiang, Alex Ziyu, et al.
Publicado: (2023)
Ejemplares similares
-
Modeling extremal dependence in multivariate and spatial problems: a practical perspective
por: Beranger, Boris, et al.
Publicado: (2024) -
Predictive variational inference for flexible regression models
por: Kock, Lucas, et al.
Publicado: (2026) -
Analysing symbolic data by pseudo-marginal methods
por: Yang, Yu, et al.
Publicado: (2024) -
Parsimonious Factor Models for Asymmetric Dependence in Multivariate Extremes
por: Krupskii, Pavel, et al.
Publicado: (2025) -
Reversible jump Markov chain Monte Carlo and multi-model samplers
por: Fan, Yanan, et al.
Publicado: (2010)