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Model‐based inference of conditional extreme value distributions with hydrological applications

https://doi.org/10.1002/env.2575
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/env.2190openalex-snapshot
Estimating the probability of widespread flood events
inferredcites →https://doi.org/10.1007/978-0-387-75953-1openalex-snapshot
Extreme Values, Regular Variation and Point Processes
inferredcites →https://doi.org/10.1007/978-0-387-98141-3openalex-snapshot
ggplot2: Elegant Graphics for Data Analysis
inferredcites →https://doi.org/10.1007/978-1-4899-3324-9openalex-snapshot
Density Estimation for Statistics and Data Analysis
inferredcites →https://doi.org/10.1007/s13253-010-0023-9openalex-snapshot
Spatial Hierarchical Modeling of Precipitation Extremes From a Regional Climate Model
inferredcites →https://doi.org/10.1016/0167-7152(89)90106-5openalex-snapshot
Maxima of normal random vectors: Between independence and complete dependence
inferredcites →https://doi.org/10.1016/0167-7152(94)00036-0openalex-snapshot
Maxima of bivariate random vectors: Between independence and complete dependence
inferredcites →https://doi.org/10.1016/j.coastaleng.2013.04.005openalex-snapshot
Joint modelling of extreme ocean environments incorporating covariate effects
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.09.026openalex-snapshot
Spatial dependence in extreme river flows and precipitation for Great Britain
inferredcites →https://doi.org/10.1016/j.jmva.2012.10.012openalex-snapshot
Estimation of the conditional distribution of a multivariate variable given that one of its components is large: Additional constraints for the Heffernan and Tawn model
inferredcites →https://doi.org/10.1016/j.jmva.2014.02.003openalex-snapshot
Self-consistent estimation of conditional multivariate extreme value distributions
inferredcites →https://doi.org/10.1016/j.jmva.2016.06.001openalex-snapshot
Conditioned limit laws for inverted max-stable processes
inferredcites →https://doi.org/10.1016/j.spasta.2018.04.007openalex-snapshot
Modelling spatial extreme events with environmental applications
inferredcites →https://doi.org/10.1017/s0021900200114640openalex-snapshot
The two-dimensional Poisson process and extremal processes
inferredcites →https://doi.org/10.1023/a:1011459127975openalex-snapshot
A Directory of Coefficients of Tail Dependence
inferredcites →https://doi.org/10.1051/e3sconf/20160701011openalex-snapshot
Improving statistical models for flood risk assessment
inferredcites →https://doi.org/10.1080/00401706.1987.10488295openalex-snapshot
Density Estimation for Statistics and Data Analysis
inferredcites →https://doi.org/10.1080/01621459.2013.872651openalex-snapshot
Spectral Density Ratio Models for Multivariate Extremes
inferredcites →https://doi.org/10.1093/biomet/77.2.245openalex-snapshot
Modelling Multivariate Extreme Value Distributions
inferredcites →https://doi.org/10.1093/biomet/83.1.169openalex-snapshot
Statistics for near independence in multivariate extreme values
inferredcites →https://doi.org/10.1111/1467-9876.00177openalex-snapshot
The Multivariate Gaussian Tail Model: An Application to Oceanographic Data
inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00676_9.xopenalex-snapshot
ggplot2: Elegant Graphics for Data Analysis
inferredcites →https://doi.org/10.1111/j.1467-9868.2004.02050.xopenalex-snapshot
A Conditional Approach for Multivariate Extreme Values (with Discussion)
inferredcites →https://doi.org/10.1111/j.1467-9876.2009.00672.xopenalex-snapshot
Spatial Risk Assessment for Extreme River Flows
inferredcites →https://doi.org/10.1111/j.1753-318x.2010.01081.xopenalex-snapshot
A new method to assess the risk of local and widespread flooding on rivers and coasts
inferredcites →https://doi.org/10.1111/j.2517-6161.1990.tb01796.xopenalex-snapshot
Models for Exceedances Over High Thresholds
inferredcites →https://doi.org/10.1111/j.2517-6161.1991.tb01830.xopenalex-snapshot
Modelling Extreme Multivariate Events
inferredcites →https://doi.org/10.1111/rssb.12074openalex-snapshot
Estimation of Hüsler–Reiss Distributions and Brown–Resnick Processes
inferredcites →https://doi.org/10.1198/016214506000000780openalex-snapshot
Bayesian Spatial Modeling of Extreme Precipitation Return Levels
inferredcites →https://doi.org/10.1201/9781315140919openalex-snapshot
Density Estimation for Statistics and Data Analysis
inferredcites →https://doi.org/10.1201/b14876openalex-snapshot
Kernel Smoothing
inferredcites →https://doi.org/10.1201/b17116openalex-snapshot
Dependence Modeling with Copulas
inferredcites →https://doi.org/10.1214/105051606000000835openalex-snapshot
Limit laws for random vectors with an extreme component
inferredcites →https://doi.org/10.1214/11-sts376openalex-snapshot
Statistical Modeling of Spatial Extremes
inferredcites →https://doi.org/10.1214/15-aoas863openalex-snapshot
Extremes on river networks
inferredcites →https://doi.org/10.2307/2289692openalex-snapshot
Extreme Values, Regular Variation, and Point Processes.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4822267openalex-extracted
Estimating Metocean Environments Associated with Extreme Structural Response
inferred← citeshttps://doi.org/10.1002/9781118445112.stat01239.pub2openalex-snapshot
Multivariate Extreme Value Theory
inferred← citeshttps://doi.org/10.1002/env.2661openalex-snapshot
Modeling short‐ranged dependence in block extrema with application to polar temperature data
inferred← citeshttps://doi.org/10.1002/env.2764openalex-snapshot
Regression methods for the appearances of extremes in climate data
inferred← citeshttps://doi.org/10.1002/env.2834openalex-snapshot
Temporal evolution of the extreme excursions of multivariate k$$ k $$th order Markov processes with application to oceanographic data
inferred← citeshttps://doi.org/10.1007/s00477-026-03372-2openalex-snapshot
Spatiotemporal dependence in floods with the Heffernan and Tawn conditional exceedance model: from synthesis to a new application
inferred← citeshttps://doi.org/10.1007/s10651-021-00498-0openalex-snapshot
Conditional modelling approach to multivariate extreme value distributions: application to extreme rainfall events in South Africa
inferred← citeshttps://doi.org/10.1007/s10687-020-00384-1openalex-snapshot
Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes
inferred← citeshttps://doi.org/10.1016/b978-0-323-95390-0.00005-4openalex-snapshot
Compound hazards during tropical cyclones
inferred← citeshttps://doi.org/10.1016/j.envsoft.2024.106018openalex-snapshot
Improving continental hydrological models for future climate conditions via multi-objective optimisation
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2024.118754openalex-snapshot
Estimating metocean environments associated with extreme structural response to demonstrate the dangers of environmental contour methods
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.123990openalex-snapshot
Sequential design for the efficient estimation of offshore structure failure probability
inferred← citeshttps://doi.org/10.1016/j.segan.2023.101151openalex-snapshot
Statistical modelling of dependence between net demands and deficits in two area power systems
inferred← citeshttps://doi.org/10.1016/j.wace.2023.100596openalex-snapshot
A spatially-dependent synthetic global dataset of extreme sea level events
inferred← citeshttps://doi.org/10.1063/5.0111260openalex-snapshot
Prediction of riverflow using bivariate extreme value distribution with composite likelihood approach
inferred← citeshttps://doi.org/10.1214/25-aoas2059openalex-snapshot
Fast return-level estimates for flood insurance via an improved Bennett inequality for random variables with differing upper bounds
inferred← citeshttps://doi.org/10.2166/nh.2022.069openalex-snapshot
Spatially coherent statistical simulation of widespread flooding events under climate change
inferred← citeshttps://doi.org/10.3390/w18161954openalex-snapshot
Stochastic Dependence and Risk Assessment of Compound Flood Drivers in the Ganges–Brahmaputra–Meghna Basin, Bangladesh
inferred← citeshttps://doi.org/10.5194/nhess-20-2681-2020openalex-snapshot
Multivariate statistical modelling of the drivers of compound flood events in south Florida
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