Copertina

Environmental extreme risk modeling via sub-sampling block maxima

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cheng, Tuoyuan, Peng, Xiao, Choiruddin, Achmad, He, Xiaogang, Chen, Kan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Bayesian block maxima over threshold approach applied to corrosion assessment in heat exchanger tubes
di: Spearing, Jess, et al.
Pubblicazione: (2025)

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

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

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

Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
di: Romanò, Giovanni, et al.
Pubblicazione: (2025)

Zero-inflated stochastic block modeling of efficiency-security tradeoffs in weighted criminal networks
di: Lu, Chaoyi, et al.
Pubblicazione: (2024)

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

How long should a block be?
di: Belzile, Léo R., et al.
Pubblicazione: (2026)

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

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

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

Sensitivity Analysis for Attributable Effects in Case$^2$ Studies
di: Chen, Kan, et al.
Pubblicazione: (2024)

Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model
di: Balocchi, Cecilia, et al.
Pubblicazione: (2021)

Modelling non-stationarity in asymptotically independent extremes
di: Murphy-Barltrop, C. J. R., et al.
Pubblicazione: (2022)

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

Forecasting sub-population mortality using credibility theory
di: Lindholm, Mathias, et al.
Pubblicazione: (2025)

Generalized method of L-moment estimation for stationary and nonstationary extreme value models
di: Shin, Yonggwan, et al.
Pubblicazione: (2025)

Bayesian sample size calculations for external validation studies of risk prediction models
di: Sadatsafavi, Mohsen, et al.
Pubblicazione: (2025)

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

Combining missing data imputation and internal validation in clinical risk prediction models
di: Mi, Junhui, et al.
Pubblicazione: (2024)

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

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

Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
di: Möllenhoff, Kathrin, et al.
Pubblicazione: (2024)

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

Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
di: Trangucci, Rob, et al.
Pubblicazione: (2024)

Robust Bayesian approach for reliability prognosis of nondestructive one-shot devices under cumulative risk model
di: Baghel, Shanya, et al.
Pubblicazione: (2024)

Vaccine sieve analysis on deep sequencing data using competing risks Cox regression with failure type subject to misclassification
di: Peng, James, et al.
Pubblicazione: (2025)

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

Model-based bi-clustering using multivariate Poisson-lognormal with general block-diagonal covariance matrix and its applications
di: Kral, Caitlin, et al.
Pubblicazione: (2025)

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

Improving exponential-family random graph models for bipartite networks
di: Stivala, Alex, et al.
Pubblicazione: (2025)

Bayesian reliability acceptance sampling plan sampling plans under adaptive accelerated type-II censored competing risk data
di: Das, Rathin, et al.
Pubblicazione: (2025)

A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
di: Spearing, Jess, et al.
Pubblicazione: (2023)

Creating a Spatial Vulnerability Index for Environmental Health
di: Price, Aiden, et al.
Pubblicazione: (2024)

Microbial correlation: a semi-parametric model for investigating microbial co-metabolism
di: Shi, Haoran, et al.
Pubblicazione: (2025)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
di: Sondhi, Arjun, et al.
Pubblicazione: (2024)

Extremal properties of max-autoregressive moving average processes for modelling extreme river flows
di: D'Arcy, Eleanor, et al.
Pubblicazione: (2024)

Non-parametric inference on calibration of predicted risks
di: Sadatsafavi, Mohsen, et al.
Pubblicazione: (2023)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
di: Chen, David, et al.
Pubblicazione: (2024)

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