Results 11 to 20 of about 292 (177)
Copulas for Covariate Simulation in Pharmacometrics. [PDF]
ABSTRACT Patient‐specific covariates are commonly incorporated in pharmacometric and quantitative system pharmacology models to predict differences in pharmacokinetic or pharmacodynamic profiles between patients. When simulating new virtual populations of patients, generating realistic covariate sets that accurately reflect the correlation structures ...
Guo Y, Guo T, van Hasselt JGC, Zwep LB.
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Application of vine copulas to dependence analysis of water quality data [PDF]
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
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Textile effluent treatment using Avocado seeds based activated carbon [PDF]
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
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Streamflow estimation at partially gaged sites using multiple-dependence conditions via vine copulas [PDF]
Reliable estimates of missing streamflow values are relevant for water resource planning and management. This study proposes a multiple-dependence condition model via vine copulas for the purpose of estimating streamflow at partially gaged sites.
K.-H. Ahn
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Vine constructions of Lévy copulas [PDF]
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
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Simulation of potential evapotranspiration values based on vine copula
Vine copula had a great impact on the study and analysis of dependence structures in various sciences. In multivariate analyses with dimensions of more than two variables, it is associated with computational complexities that solve vine copulas and these
Abbas Khashei‐Siuki +3 more
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A continuous rainfall model based on vine copulas [PDF]
Copulas have already proven their flexibility in rainfall modelling. Yet, their use is generally restricted to the description of bivariate dependence.
H. Vernieuwe +3 more
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A Mixture of Regular Vines for Multiple Dependencies
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
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Smooth nonparametric Bernstein vine copulas [PDF]
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
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Pairs Trading; A Comparison between Student-t and Vine Copulas [PDF]
Objective: The main purpose of the present research was to compare the performance of pairs trading based on the Vine Copula, Student's t Copula, and Distance approaches. This was done for the first time on the Tehran Stock Exchange (TSE).
Maryam Davallou, Ardavan Yazdi
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