Results 21 to 30 of about 1,223 (165)

Synchronization frequency analysis and stochastic simulation of multi-site flood flows based on the complicated vine copula structure [PDF]

open access: yesHydrology and Earth System Sciences
Accurately 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
doaj   +2 more sources

Joint Probability Distribution of Wind–Wave Actions Based on Vine Copula Function

open access: yesJournal of Marine Science and Engineering
During its service life, a deep-sea floating structure is likely to encounter extreme marine disasters. The combined action of wind and wave loads poses a threat to its structural safety.
Yongtuo Wu   +3 more
doaj   +2 more sources

Nonparametric estimation of simplified vine copula models: comparison of methods

open access: yesDependence Modeling, 2017
Nagler T, Schellhase C, Czado C. Nonparametric estimation of simplified vine copula models: comparison of methods. Dependence Modeling. 2017;5(1):99-120.In the last decade, simplified vine copula models have been an active area of research.
Thomas Nagler   +2 more
exaly   +2 more sources

Application of a Vine Copula for Multi-Line Insurance Reserving

open access: yesRisks, 2020
This article introduces a novel use of the vine copula which captures dependence among multi-line claim triangles, especially when an insurance portfolio consists of more than two lines of business. First, we suggest a way to choose an optimal joint loss
Himchan Jeong, Dipak Dey
doaj   +2 more sources

Bayesian model selection for D-vine pair-copula constructions

open access: yesCanadian Journal of Statistics, 2011
In recent years analyses of dependence structures using copulas have become more popular than the standard correlation analysis. Starting from Aas, Czado, Frigessi, and Bakken (2009) regular vine pair-copula constructions (PCCs) are considered the most ...
Aleksey Min, Claudia Czado
exaly   +2 more sources

Learning Vine Copula Models for Synthetic Data Generation

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2019
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   +4 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

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

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