Results 31 to 40 of about 70,213 (199)
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
doaj +1 more source
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
doaj +1 more source
Technical and allocative inefficiency in production systems: a vine copula approach
Modeling the error terms in stochastic frontier models of production systems requires multivariate distributions with certain characteristics. We argue that canonical vine copulas offer a natural way to model the pairwise dependence between the two main ...
Zhai Jian, James Robert, Prokhorov Artem
doaj +1 more source
Comparison between canonical vine copulas and a meta-Gaussian model for forecasting agricultural drought over China [PDF]
Agricultural drought mainly stems from reduced soil moisture and precipitation, and it causes adverse impacts on the growth of crops and vegetation, thereby affecting agricultural production and food security.
H. Wu +9 more
doaj +1 more source
Vine copulas structures modeling on Russian stock market
Pair-copula constructions have proven to be a useful tool in statistical modeling, particularly in the field of finance. The copula-based approach can be used to choose a model that describes the dependence structure and marginal behaviour of the data in
Eugeny Yu. Shchetinin
doaj +1 more source
Best management practices (BMPs) have wide application in non-point source (NPS) pollution abatement in agricultural watersheds. Multivariate analysis of BMPs reduction effects taking their randomness and correlations into account is significant to ...
Wenlu Ding +6 more
doaj +1 more source
Forecasted Scenarios of Regional Wind Farms Based on Regular Vine Copulas
Owing to the uncertainty and volatility of wind energy, forecasted wind power scenarios with proper spatio-temporal correlations are needed in various decision-making problems involving power systems.
Zhao Wang +3 more
doaj +1 more source
Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas
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
covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
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
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders
We introduce the vine copula autoencoder (VCAE), a flexible generative model for high-dimensional distributions built in a straightforward three-step procedure. First, an autoencoder (AE) compresses the data into a lower dimensional representation. Second, the multivariate distribution of the encoded data is estimated with vine copulas.
Tagasovska, Natasa +2 more
openaire +4 more sources

