Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
Fuente:
arXiv
Saved in:
| Main Authors: | Murphy-Barltrop, C. J. R., Wadsworth, J. L., Eastoe, E. F. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Modelling non-stationarity in asymptotically independent extremes
by: Murphy-Barltrop, C. J. R., et al.
Published: (2022)
by: Murphy-Barltrop, C. J. R., et al.
Published: (2022)
Inference for bivariate extremes via a semi-parametric angular-radial model
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)
Modelling non-stationary extremal dependence through a geometric approach
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025)
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025)
Extreme value methods for estimating rare events in Utopia
by: André, L. M., et al.
Published: (2023)
by: André, L. M., et al.
Published: (2023)
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
by: Murphy-Barltrop, C. J. R., et al.
Published: (2026)
by: Murphy-Barltrop, C. J. R., et al.
Published: (2026)
A marginal modelling approach for predicting wildfire extremes across the contiguous United States
by: D'Arcy, Eleanor, et al.
Published: (2021)
by: D'Arcy, Eleanor, et al.
Published: (2021)
Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)
by: Kim, Hyoshin, et al.
Published: (2023)
Neural Bayes estimation and selection for complex bivariate extremal dependence models
by: André, Lídia M., et al.
Published: (2025)
by: André, Lídia M., et al.
Published: (2025)
A comparison between copula-based, mixed model, and estimating equation methods for regression of bivariate correlated data
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
Degree distributions in networks: beyond the power law
by: Lee, Clement, et al.
Published: (2020)
by: Lee, Clement, et al.
Published: (2020)
Rank-based estimators of global treatment effects for cluster randomized trials with multiple endpoints
by: Smith, E. Davies, et al.
Published: (2024)
by: Smith, E. Davies, et al.
Published: (2024)
Anisotropic local constant smoothing for change-point regression function estimation
by: Thompson, John R. J., et al.
Published: (2020)
by: Thompson, John R. J., et al.
Published: (2020)
Generalized method of L-moment estimation for stationary and nonstationary extreme value models
by: Shin, Yonggwan, et al.
Published: (2025)
by: Shin, Yonggwan, et al.
Published: (2025)
Automated threshold selection and associated inference uncertainty for univariate extremes
by: Murphy, Conor, et al.
Published: (2023)
by: Murphy, Conor, et al.
Published: (2023)
Double machine learning to estimate the effects of multiple treatments and their interactions
by: Xiang, Qingyan, et al.
Published: (2025)
by: Xiang, Qingyan, et al.
Published: (2025)
Direct covariance matrix estimation with compositional data
by: Molstad, Aaron J., et al.
Published: (2022)
by: Molstad, Aaron J., et al.
Published: (2022)
Bad estimation, good prediction: the Lasso in dense regimes
by: Bratsberg, Andrea, et al.
Published: (2025)
by: Bratsberg, Andrea, et al.
Published: (2025)
Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
by: Mukherjee, Aritra, et al.
Published: (2026)
by: Mukherjee, Aritra, et al.
Published: (2026)
Robust estimations from distribution structures: V. Non-asymptotic
by: Tuobang, Li
Published: (2024)
by: Tuobang, Li
Published: (2024)
Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
by: Maeda, Hirotada, et al.
Published: (2026)
by: Maeda, Hirotada, et al.
Published: (2026)
Dynamic survival analysis: modelling the hazard function via ordinary differential equations
by: Christen, J. A., et al.
Published: (2023)
by: Christen, J. A., et al.
Published: (2023)
A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)
by: Luo, Yu, et al.
Published: (2025)
Reliability of stochastic capacity estimates
by: Mikolasek, Igor
Published: (2026)
by: Mikolasek, Igor
Published: (2026)
Estimation of conditional inequality curves and measures via estimating the conditional quantile function
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)
Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)
by: Basu, Tathagata, et al.
Published: (2024)
A robust score test in g-computation for covariate adjustment in randomized clinical trials leveraging different variance estimators via influence functions
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
A dimension reduction approach to edge weight estimation for use in spatial models
by: Christensen, Michael F., et al.
Published: (2024)
by: Christensen, Michael F., et al.
Published: (2024)
On the estimation and interpretation of effect size metrics
by: Loukas, Orestis, et al.
Published: (2024)
by: Loukas, Orestis, et al.
Published: (2024)
A Bayesian theory for estimation of biodiversity
by: Rigon, Tommaso, et al.
Published: (2025)
by: Rigon, Tommaso, et al.
Published: (2025)
On cross-validation for small area estimators
by: Dong, Qianyu, et al.
Published: (2026)
by: Dong, Qianyu, et al.
Published: (2026)
Stochastic highway capacity: Unsuitable Kaplan-Meier estimator, revised maximum likelihood estimator, and impact of speed harmonisation
by: Mikolášek, Igor
Published: (2025)
by: Mikolášek, Igor
Published: (2025)
Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
by: Lotspeich, Sarah C., et al.
Published: (2025)
by: Lotspeich, Sarah C., et al.
Published: (2025)
Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)
by: Chandna, Swati, et al.
Published: (2024)
Methods for differential network estimation: an empirical comparison
by: Plaksienko, Anna, et al.
Published: (2024)
by: Plaksienko, Anna, et al.
Published: (2024)
Effects of model misspecification on small area estimators
by: Chen, Yuting, et al.
Published: (2024)
by: Chen, Yuting, et al.
Published: (2024)
Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers
by: Kowal, Daniel R.
Published: (2024)
by: Kowal, Daniel R.
Published: (2024)
A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
by: Pitt, Matilda, et al.
Published: (2026)
by: Pitt, Matilda, et al.
Published: (2026)
Uncertainty quantification for critical energy systems during compound extremes via BMW-GAM
by: Krock, Mitchell L., et al.
Published: (2026)
by: Krock, Mitchell L., et al.
Published: (2026)
Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19
by: Künsch, Hans R., et al.
Published: (2025)
by: Künsch, Hans R., et al.
Published: (2025)
Similar Items
-
Modelling non-stationarity in asymptotically independent extremes
by: Murphy-Barltrop, C. J. R., et al.
Published: (2022) -
Inference for bivariate extremes via a semi-parametric angular-radial model
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024) -
Modelling non-stationary extremal dependence through a geometric approach
by: Murphy-Barltrop, C. J. R., et al.
Published: (2025) -
Extreme value methods for estimating rare events in Utopia
by: André, L. M., et al.
Published: (2023) -
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
by: Murphy-Barltrop, C. J. R., et al.
Published: (2026)