This paper presents a general framework based on copulas for modeling dependent
multivariate uncertainties through the use of a decision tree. The proposed dependent …

We review several commonly used methods for estimating the tail dependence in a given
data sample. In simulations, we show that especially static estimators produce severely …

Hydrothermal and climatic conditions determine vegetation productivity and its dynamic
changes. However, the legacy effect and the causal relationships between these climatic …

Modeling dependence among input random variables is often critical for performance
evaluation of stochastic systems, and copulas provide one approach to model such …

This article addresses the need for a holistic, integrated approach to assessing the impacts
of uncertainty on oil and gas investment decision making. We argue that this cannot be …

In this article, we develop a new method based on copulas to model correlated inputs in
discrete-event stochastic systems. We first define a type of correlated stochastic process …

With the increasing penetration of wind power, not only the uncertainties but also the
correlation among the wind farms should be considered in the power system analysis. In this …

In this study the main endeavor is to generate an Archimedean copulas (AC) family via
hyperbolic function. With using function, a new generator of Archimedean family will be …

In today's volatile economy and uncertain drilling environment, managers are encouraged to
reduce well cost and time and have implemented Casing-while-Drilling (CwD) to improve …

The statistical dependence between petrophysical properties (porosity, permeability, water
saturation, etc.) in heterogeneous formations is usually nonlinear and complex; therefore …