Results 21 to 30 of about 89,598 (168)
Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas
Applied 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
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Hydrology, 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
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A Mixture of Regular Vines for Multiple Dependencies
Journal 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
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Mathematics, 2021 For multidimensional dependent cases with incomplete probability information of random variables, global sensitivity analysis (GSA) theory is not yet mature.
Zhiwei Bai +4 more
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Novel pruning and truncating of the mixture of vine copula clustering models
Scientific Reports, 2022 The mixture of the vine copula densities allows selecting the vine structure, the most appropriate type of parametric marginal distributions, and the pair-copulas individually for each cluster. Therefore, complex hidden dependence structures can be fully
Fadhah Amer Alanazi
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ESTIMASI CVAR PADA PORTOFOLIO SAHAM MENGGUNAKAN METODE GJR-EVT DENGAN PENDEKATAN D-VINE COPULA
E-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
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covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
Journal 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
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Smooth nonparametric Bernstein vine copulas [PDF]
Quantitative Finance, 2012 We propose the use of 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.
Weiß, Gregor, Scheffer, Marcus
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International Journal of Financial Studies, 2022 This paper attempted to apply an EVT-based pairwise copula method for modelling risk interaction between foreign exchange rates and equity indices of the Johannesburg Stock Exchange (JSE) and to model the dependence structure of the underlying assets ...
Joel Hinaunye Eita +1 more
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Synchronization frequency analysis and stochastic simulation of multi-site flood flows based on the complicated vine copula structure [PDF]
Hydrology and Earth System SciencesAccurately modeling and predicting flood flows across multiple sites within a watershed presents significant challenges due to potential issues of insufficient accuracy and excessive computational demands in existing methodologies.
X. Yu, Y.-P. Xu, Y. Guo, S. Chen, H. Gu
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