Search Results for author:
Found 3 papers, 0 papers with code
Assessing univariate and bivariate risks of late-frost and drought using vine copulas: A historical study for Bavaria
In light of climate change's impacts on forests, including extreme drought and late-frost, leading to vitality decline and regional forest die-back, we assess univariate drought and late-frost risks and perform a joint risk analysis in Bavaria, Germany, from 1952 to 2020.
Bivariate vine copula based regression, bivariate level and quantile curves
We construct bivariate (conditional) quantiles using the level curves of vine copula based bivariate regression model.
Nonparametric C- and D-vine based quantile regression
Further, we show that the nonparametric conditional quantile estimator is consistent.
Methodology
Cannot find the paper you are looking for? You can
Submit a new open access paper.
