Cover Image

Modelling non-stationarity in asymptotically independent extremes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Murphy-Barltrop, C. J. R., Wadsworth, J. L.
Format:	Preprint
Published:	2022
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
by: Murphy-Barltrop, C. J. R., et al.
Published: (2023)

Modelling non-stationary extremal dependence through a geometric approach
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025)

Inference for bivariate extremes via a semi-parametric angular-radial model
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)

A marginal modelling approach for predicting wildfire extremes across the contiguous United States
by: D'Arcy, Eleanor, et al.
Published: (2021)

Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
by: Murphy-Barltrop, C. J. R., et al.
Published: (2026)

Extreme value methods for estimating rare events in Utopia
by: André, L. M., et al.
Published: (2023)

Automated threshold selection and associated inference uncertainty for univariate extremes
by: Murphy, Conor, et al.
Published: (2023)

Space-time extremes of severe US thunderstorm environments
by: Koh, Jonathan, et al.
Published: (2022)

Uncertainty quantification for critical energy systems during compound extremes via BMW-GAM
by: Krock, Mitchell L., et al.
Published: (2026)

Statistics of extremes for natural hazards: landslides and earthquakes
by: Yadav, Rishikesh, et al.
Published: (2024)

Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
by: Shin, Yire, et al.
Published: (2020)

A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)

Link prediction in ecological networks under extreme taxonomic bias
by: Kampe, Jennifer N., et al.
Published: (2025)

Flexible extreme thresholds through generalised Bayesian model averaging
by: Jessup, Sébastien, et al.
Published: (2025)

Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)

Environmental extreme risk modeling via sub-sampling block maxima
by: Cheng, Tuoyuan, et al.
Published: (2025)

A lightweight framework for characterising extreme precipitation events in climate ensembles
by: Healy, Dáire, et al.
Published: (2026)

Sensitivity analysis method in the presence of a missing not at random ordinal independent variable
by: Dioni, Abdoulaye, et al.
Published: (2025)

Replicable Bandits for Digital Health Interventions
by: Zhang, Kelly W., et al.
Published: (2024)

Functional and variables selection in extreme value models for regional flood frequency analysis
by: Gardini, Aldo
Published: (2023)

A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)

Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)

Making high-order asymptotics practical: correcting goodness-of-fit test for astronomical count data
by: Li, Xiaoli, et al.
Published: (2025)

Fast spatial simulation of extreme high-resolution radar precipitation data using INLA
by: Vandeskog, Silius M., et al.
Published: (2023)

Modelling multi-scale state-switching functional data with hidden Markov models
by: Sidrow, Evan, et al.
Published: (2021)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)

Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
by: Berrettini, Marco, et al.
Published: (2021)

cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
by: Govan, Emma, et al.
Published: (2024)

Multi-view biclustering via non-negative matrix tri-factorisation
by: Orme, Ella S. C., et al.
Published: (2025)

Modeling Home Range and Intra-Specific Spatial Interaction in Wild Animal Populations
by: Bayisa, Fekadu L., et al.
Published: (2024)

Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health
by: Chen, Kevin L., et al.
Published: (2024)

Joint modeling of wind speed and wind direction through a conditional approach
by: Murphy, Eva, et al.
Published: (2022)

Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
by: Wu, Stephanie M., et al.
Published: (2025)

Explainable Linear and Generalized Linear Models by the Predictions Plot
by: Rousseeuw, Peter J.
Published: (2024)

Dyadic Flow Models for Nonstationary Gene Flow in Landscape Genomics
by: Schwob, Michael R., et al.
Published: (2025)

Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)

Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to non-random missingness
by: Trangucci, Rob, et al.
Published: (2022)

Environmental Justice Implications of Power Plant Emissions Control Policies: Heterogeneous Causal Effect Estimation under Bipartite Network Interference
by: Chen, Kevin L., et al.
Published: (2023)

Evaluation of the HeartSteps Online Sampling Algorithm
by: Meng, Xiang, et al.
Published: (2025)

Policy Robustness & Uncertainty in Model-based Decision Support for the Energy Transition
by: Burton, Ian J., et al.
Published: (2025)