Pages that link to "Item:Q5943006"
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The following pages link to An introduction to statistical modeling of extreme values (Q5943006):
Displaying 50 items.
- Particle filtering for Gumbel‐distributed daily maxima of methane and nitrous oxide (Q6069051) (← links)
- Spatial extreme value analysis to project extremes of large‐scale indicators for severe weather (Q6069104) (← links)
- Stationary and nonstationary generalized extreme value modelling of extreme precipitation over a mountainous area under climate change (Q6069110) (← links)
- Joint modelling of the body and tail of bivariate data (Q6071704) (← links)
- Efficient estimation of partially linear tail index models using B‐splines (Q6075140) (← links)
- Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations (Q6090035) (← links)
- Simple change point model in heteroscedastic extremes (Q6096202) (← links)
- Mathematical models to explain the origin of urban scaling laws (Q6097333) (← links)
- A marginal modelling approach for predicting wildfire extremes across the contiguous United States (Q6100565) (← links)
- Estimation of multivariate tail quantities (Q6115547) (← links)
- Joint stochastic simulation of extreme coastal and offshore significant wave heights (Q6138647) (← links)
- Accounting for seasonality in extreme sea-level estimation (Q6138659) (← links)
- Bayesian hierarchical modeling of extreme hourly precipitation in Norway (Q6139129) (← links)
- Computationally efficient spatial modeling of annual maximum 24‐h precipitation on a fine grid (Q6139151) (← links)
- A modeler's guide to extreme value software (Q6144812) (← links)
- Tail-dependence, exceedance sets, and metric embeddings (Q6144816) (← links)
- Mezcla de Gompertz para modelar la evolución de la dinámica del COVID-19 (Q6146563) (← links)
- Approximate confidence and tolerance limits for the discrete Pareto distribution for characterizing extremes in count data (Q6147735) (← links)
- Causality in extremes of time series (Q6151143) (← links)
- Simulating flood event sets using extremal principal components (Q6161874) (← links)
- Mixed-frequency extreme value regression: estimating the effect of mesoscale convective systems on extreme rainfall intensity (Q6161881) (← links)
- Poisson edge growth and preferential attachment networks (Q6164835) (← links)
- Global-scale statistical modelling of the radiative power released by vegetation fires using a doubly truncated lognormal body distribution with generalized Pareto tails (Q6167743) (← links)
- Generalized entropy approach for conserved systems with finite entities: insights into non-Gaussian and non-chi-square distributions using Havrda-Charvát-Tsallis entropy (Q6169998) (← links)
- On the disjoint and sliding block maxima method for piecewise stationary time series (Q6172189) (← links)
- A weighted composite log-likelihood approach to parametric estimation of the extreme quantiles of a distribution (Q6176327) (← links)
- Causal modelling of heavy-tailed variables and confounders with application to river flow (Q6176331) (← links)
- Extreme value inference for heterogeneous power law data (Q6177326) (← links)
- Statistics for heteroscedastic time series extremes (Q6178550) (← links)
- Spatial modelling framework for the characterisation of rainfall extremes at different durations and under climate change (Q6179631) (← links)
- Regional pooling in extreme event attribution studies: an approach based on multiple statistical testing (Q6191614) (← links)
- Shrinkage methods for estimating the shape parameter of the generalized Pareto distribution (Q6535674) (← links)
- Bootstrapping binary GEV regressions for imbalanced datasets (Q6538413) (← links)
- A semi-parametric stochastic generator for bivariate extreme events (Q6540512) (← links)
- Mathematical assessment of hydrological drought in the mun watershed: incorporating standardized runoff index and archimedes copula functions (Q6544215) (← links)
- Artificial neural network modeling of rainfall-runoff extreme value distributions: a focus on the shape parameter (Q6544228) (← links)
- Probability models and some mathematical techniques on parameter estimation for daily rainfall extremes: application to daily rainfall in southern Thailand (Q6544236) (← links)
- Regression models for the full distribution to exceedance data (Q6547177) (← links)
- Wait time to stochastic self-focusing (Q6547279) (← links)
- Similarity-based clustering for patterns of extreme values (Q6548801) (← links)
- Predictive and sensitive analysis of a bivariate skewed spatial process based on the Bayesian framework (Q6548804) (← links)
- Empirical Bayes inference for the block maxima method (Q6565317) (← links)
- Distributed Inference for Spatial Extremes Modeling in High Dimensions (Q6567924) (← links)
- Regular variation in Hilbert spaces and principal component analysis for functional extremes (Q6570492) (← links)
- Micro-level reserving for general insurance claims using a long short-term memory network (Q6581500) (← links)
- Discussion on `A resimulation framework for event loss tables based on clustering' by Benedikt Funke and Harmen Roering (Q6593154) (← links)
- Generalized Pareto regression trees for extreme event analysis (Q6601112) (← links)
- Hypothesis tests with precedence probabilities and precedence-type tests (Q6602179) (← links)
- Advances in statistical modeling of spatial extremes (Q6602343) (← links)
- Transformed-linear models for time series extremes (Q6604023) (← links)