Results 11 to 20 of about 94,299 (278)

Sequential Truncation of R-Vine Copula Mixture Model for High-Dimensional Datasets

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2021
Uncovering hidden mixture dependencies among variables has been investigated in the literature using mixture R-vine copula models. They provide considerable flexibility for modeling multivariate data.
Fadhah Amer Alanazi
doaj   +3 more sources

Mixed D-vine copula-based conditional quantile model for stochastic monthly streamflow simulation

open access: diamondWater Science and Engineering, 2023
Copula functions have been widely used in stochastic simulation and prediction of streamflow. However, existing models are usually limited to single two-dimensional or three-dimensional copulas with the same bivariate block for all months.
Wen-zhuo Wang   +5 more
doaj   +2 more sources

Bayesian Estimation of R-Vine Copula with Gaussian-Mixture GARCH Margins: An MCMC and Machine Learning Comparison [PDF]

open access: goldMathematics
This study proposes Bayesian estimation of multivariate regular vine (R-vine) copula models with generalized autoregressive conditional heteroskedasticity (GARCH) margins modeled by Gaussian-mixture distributions.
Rewat Khanthaporn, Nuttanan Wichitaksorn
doaj   +2 more sources

Assessing portfolio vulnerability to systemic risk: a vine copula and APARCH-DCC approach

open access: yesFinancial Innovation
This study evaluates the sensitivity and robustness of the systemic risk measure, Conditional Value-at-Risk (CoVaR), estimated using the vine copula and APARCH-DCC models. We compute the CoVaR for the two portfolios across five allocation strategies. The
Jules Clement Mba
doaj   +2 more sources

Learning Vine Copula Models For Synthetic Data Generation

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2018
A vine copula model is a flexible high-dimensional dependence model which uses only bivariate building blocks. However, the number of possible configurations of a vine copula grows exponentially as the number of variables increases, making model ...
Cuesta-Infante, Alfredo   +2 more
core   +3 more sources

Correlation analysis of diabetes based on Copula [PDF]

open access: yesFrontiers in Endocrinology
IntroductionThe ratio of Triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) is a crucial indicator for diabetes diagnosis.MethodsThis study utilizes the Copula function to model and fit the non-linear correlation among fasting blood ...
Chang Liu   +3 more
doaj   +2 more sources

Pairs Trading; A Comparison between Student-t and Vine Copulas [PDF]

open access: yesتحقیقات مالی, 2022
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
doaj   +1 more source

Vine Copula Models with GLM and Sparsity

open access: greenSSRN Electronic Journal, 2017
Vine copula provides a flexible tool to capture asymmetry in modelling multivariate distributions. Nevertheless, its flexibility is achieved at the expense of exponentially increasing complexity of the model. To alleviate this issue, the simplifying assumption (SA) is commonly adapted in specific applications of vine copula models.
Dezhao Han, Ken Seng Tan, Chengguo Weng
openalex   +2 more sources

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

Home - About - Disclaimer - Privacy