Results 11 to 20 of about 493 (178)

Application of vine copulas to dependence analysis of water quality data [PDF]

open access: yesJournal of Applied Research in Water and Wastewater, 2022
In this study, using vine copulas and tree sequences, dependence analysis of groundwater quality variables (Total hardness (TH), Sodium adsorption ratio (SAR), Sodium percentage (Na %) and magnesium (Mg)) was performed.
Mohammad Nazeri Tahroudi   +3 more
doaj   +1 more source

Textile effluent treatment using Avocado seeds based activated carbon [PDF]

open access: yesJournal of Applied Research in Water and Wastewater, 2022
In this study, using vine copulas and tree sequences, dependence analysis of groundwater quality variables (Total hardness (TH), Sodium adsorption ratio (SAR), Sodium percentage (Na %) and magnesium (Mg)) was performed.
Jacques Munyegaju   +4 more
doaj   +1 more source

Vine constructions of Lévy copulas [PDF]

open access: yesJournal of Multivariate Analysis, 2013
Levy copulas are the most general concept to capture jump dependence in multivariate Levy processes. They translate the intuition and many features of the copula concept into a time series setting. A challenge faced by both, distributional and Levy copulas, is to find flexible but still applicable models for higher dimensions. To overcome this problem,
Grothe, Oliver, Nicklas, Stephan
openaire   +3 more sources

Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas

open access: yesApplied Water Science, 2022
Investigating the interaction of water resources such as rainfall, river flow and groundwater level can be useful to know the behavior of water balance in a basin.
Mohammad Nazeri Tahroudi   +3 more
doaj   +1 more source

Trivariate Joint Distribution Modelling of Compound Events Using the Nonparametric D-Vine Copula Developed Based on a Bernstein and Beta Kernel Copula Density Framework

open access: yesHydrology, 2022
Low-lying coastal communities are often threatened by compound flooding (CF), which can be determined through the joint occurrence of storm surges, rainfall and river discharge, either successively or in close succession.
Shahid Latif, Slobodan P. Simonovic
doaj   +1 more source

A Mixture of Regular Vines for Multiple Dependencies

open access: yesJournal of Probability and Statistics, 2021
To uncover complex hidden dependency structures among variables, researchers have used a mixture of vine copula constructions. To date, these have been limited to a subclass of regular vine models, the so-called drawable vine, fitting only one type of ...
Fadhah Amer Alanazi
doaj   +1 more source

ESTIMASI CVAR PADA PORTOFOLIO SAHAM MENGGUNAKAN METODE GJR-EVT DENGAN PENDEKATAN D-VINE COPULA

open access: yesE-Jurnal Matematika, 2022
Risk measure using Conditional Value at Risk can be calculate if values that exceeds the p-quantile is known in VaR. The models used to accommodate characteristics of the stock portfolio in this research are EVT-GARCH-D-vine copula and EVT-GJR-D-vine ...
DERY MAULANA   +2 more
doaj   +1 more source

covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas

open access: yesJournal of Statistical Software, 2022
In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix.
Steffen Grønneberg   +2 more
doaj   +1 more source

Smooth nonparametric Bernstein vine copulas [PDF]

open access: yesQuantitative Finance, 2012
We propose to use nonparametric Bernstein copulas as bivariate pair-copulas in high-dimensional vine models. The resulting smooth and nonparametric vine copulas completely obviate the error-prone need for choosing the pair-copulas from parametric copula families. By means of a simulation study and an empirical analysis of financial market data, we show
Weiß, Gregor, Scheffer, Marcus
openaire   +2 more sources

A geometric investigation into the tail dependence of vine copulas [PDF]

open access: yesJournal of Multivariate Analysis, 2021
Vine copulas are a type of multivariate dependence model, composed of a collection of bivariate copulas that are combined according to a specific underlying graphical structure. Their flexibility and practicality in moderate and high dimensions have contributed to the popularity of vine copulas, but relatively little attention has been paid to their ...
Emma S. Simpson   +2 more
openaire   +2 more sources

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