Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
Fuente:
arXiv
Guardado en:
| Autores principales: | Shin, Yire, Park, Jeong-Soo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2020
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Generalized logistic model for $r$ largest order statistics, with hydrological application
por: Shin, Yire, et al.
Publicado: (2024)
por: Shin, Yire, et al.
Publicado: (2024)
Automated selection of r for stationary and nonstationary models for r largest order statistics
por: Shin, Yire, et al.
Publicado: (2026)
por: Shin, Yire, et al.
Publicado: (2026)
Generalized method of L-moment estimation for stationary and nonstationary extreme value models
por: Shin, Yonggwan, et al.
Publicado: (2025)
por: Shin, Yonggwan, et al.
Publicado: (2025)
Building nonstationary extreme value model using L-moments
por: Shin, Yire, et al.
Publicado: (2025)
por: Shin, Yire, et al.
Publicado: (2025)
Model averaging with mixed criteria for estimating high quantiles of extreme values: Application to heavy rainfall
por: Shin, Yonggwan, et al.
Publicado: (2025)
por: Shin, Yonggwan, et al.
Publicado: (2025)
Parameter estimation for the generalized extreme value distribution: a method that combines bootstrapping and r largest order statistics
por: Soto, Juan L. P.
Publicado: (2024)
por: Soto, Juan L. P.
Publicado: (2024)
Parameter estimation of the four-parameter Harris extended Weibull distribution with applications to real-life data
por: Chaturvedi, Prithul, et al.
Publicado: (2025)
por: Chaturvedi, Prithul, et al.
Publicado: (2025)
A lightweight framework for characterising extreme precipitation events in climate ensembles
por: Healy, Dáire, et al.
Publicado: (2026)
por: Healy, Dáire, et al.
Publicado: (2026)
A spatio-temporal statistical framework for heatwave attribution under climate change
por: Gasser, Kamal, et al.
Publicado: (2026)
por: Gasser, Kamal, et al.
Publicado: (2026)
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
por: Murphy-Barltrop, C. J. R., et al.
Publicado: (2026)
por: Murphy-Barltrop, C. J. R., et al.
Publicado: (2026)
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)
A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
por: Spearing, Jess, et al.
Publicado: (2023)
por: Spearing, Jess, et al.
Publicado: (2023)
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)
Integration of max-stable processes and Bayesian model averaging to predict extreme climatic events in multi-model ensembles
por: Shin, Yonggwan, et al.
Publicado: (2020)
por: Shin, Yonggwan, et al.
Publicado: (2020)
Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising
por: Park, Kwangmoon, et al.
Publicado: (2023)
por: Park, Kwangmoon, et al.
Publicado: (2023)
Fast Computer Model Calibration using Annealed and Transformed Variational Inference
por: Cho, Dongkyu Derek, et al.
Publicado: (2022)
por: Cho, Dongkyu Derek, et al.
Publicado: (2022)
Enhancing parameter estimation in finite mixture of generalized normal distributions
por: Duttilo, Pierdomenico, et al.
Publicado: (2024)
por: Duttilo, Pierdomenico, et al.
Publicado: (2024)
Statistics of extremes for natural hazards: landslides and earthquakes
por: Yadav, Rishikesh, et al.
Publicado: (2024)
por: Yadav, Rishikesh, et al.
Publicado: (2024)
Extending the blended generalized extreme value distribution
por: Krakauer, Nir Y.
Publicado: (2024)
por: Krakauer, Nir Y.
Publicado: (2024)
Tracing the impacts of Mount Pinatubo eruption on regional climate using spatially-varying changepoint detection
por: Shi-Jun, Samantha, et al.
Publicado: (2024)
por: Shi-Jun, Samantha, et al.
Publicado: (2024)
Item response parameter estimation performance using Gaussian quadrature and Laplace
por: Arrington, Leticia, et al.
Publicado: (2024)
por: Arrington, Leticia, et al.
Publicado: (2024)
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
por: Wang, Ziyou, et al.
Publicado: (2026)
por: Wang, Ziyou, et al.
Publicado: (2026)
A Bayesian multivariate extreme value mixture model
por: Hu, Chenglei, et al.
Publicado: (2024)
por: Hu, Chenglei, et al.
Publicado: (2024)
Space-time extremes of severe US thunderstorm environments
por: Koh, Jonathan, et al.
Publicado: (2022)
por: Koh, Jonathan, et al.
Publicado: (2022)
An Observation-Driven State-Space Model for Claims Size Modeling
por: Ahn, Jae Youn, et al.
Publicado: (2024)
por: Ahn, Jae Youn, et al.
Publicado: (2024)
Link prediction in ecological networks under extreme taxonomic bias
por: Kampe, Jennifer N., et al.
Publicado: (2025)
por: Kampe, Jennifer N., et al.
Publicado: (2025)
Flexible extreme thresholds through generalised Bayesian model averaging
por: Jessup, Sébastien, et al.
Publicado: (2025)
por: Jessup, Sébastien, 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)
Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
por: Park, Kwangmoon, et al.
Publicado: (2026)
por: Park, Kwangmoon, et al.
Publicado: (2026)
Alternative statistical inference for the first normalized incomplete moment
por: Lu, Jiannan, et al.
Publicado: (2025)
por: Lu, Jiannan, et al.
Publicado: (2025)
Environmental extreme risk modeling via sub-sampling block maxima
por: Cheng, Tuoyuan, et al.
Publicado: (2025)
por: Cheng, Tuoyuan, et al.
Publicado: (2025)
A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
por: Bo, Na, et al.
Publicado: (2024)
por: Bo, Na, et al.
Publicado: (2024)
Inference for bivariate extremes via a semi-parametric angular-radial model
por: Murphy-Barltrop, Callum John Rowlandson, et al.
Publicado: (2024)
por: Murphy-Barltrop, Callum John Rowlandson, et al.
Publicado: (2024)
Functional and variables selection in extreme value models for regional flood frequency analysis
por: Gardini, Aldo
Publicado: (2023)
por: Gardini, Aldo
Publicado: (2023)
Streamlining business functions in official statistical production with Machine Learning
por: Barragán, Sandra, et al.
Publicado: (2025)
por: Barragán, Sandra, et al.
Publicado: (2025)
Uncertainty quantification for critical energy systems during compound extremes via BMW-GAM
por: Krock, Mitchell L., et al.
Publicado: (2026)
por: Krock, Mitchell L., et al.
Publicado: (2026)
A marginal modelling approach for predicting wildfire extremes across the contiguous United States
por: D'Arcy, Eleanor, et al.
Publicado: (2021)
por: D'Arcy, Eleanor, et al.
Publicado: (2021)
A statistical framework for analyzing activity pattern from GPS data
por: Wu, Haoyang, et al.
Publicado: (2025)
por: Wu, Haoyang, et al.
Publicado: (2025)
A statistical framework for dynamic cognitive diagnosis in digital learning environments
por: Ma, Yawen, et al.
Publicado: (2025)
por: Ma, Yawen, et al.
Publicado: (2025)
A nonparametric statistical method for deconvolving densities in the analysis of proteomic data
por: Anarat, Akin, et al.
Publicado: (2025)
por: Anarat, Akin, et al.
Publicado: (2025)
Ejemplares similares
-
Generalized logistic model for $r$ largest order statistics, with hydrological application
por: Shin, Yire, et al.
Publicado: (2024) -
Automated selection of r for stationary and nonstationary models for r largest order statistics
por: Shin, Yire, et al.
Publicado: (2026) -
Generalized method of L-moment estimation for stationary and nonstationary extreme value models
por: Shin, Yonggwan, et al.
Publicado: (2025) -
Building nonstationary extreme value model using L-moments
por: Shin, Yire, et al.
Publicado: (2025) -
Model averaging with mixed criteria for estimating high quantiles of extreme values: Application to heavy rainfall
por: Shin, Yonggwan, et al.
Publicado: (2025)