Copulas are used to specify dependence between two or more random variables. The last
few years have seen a surge of developments of parametric models for copulas. Here, we …

Multiple-point simulation is a commonly used method in modeling complex curvilinear
structures. The method is based on the application of training images that are open to …

This article proposes a novel methodology for estimating metallurgical copper recovery, a
critical feature in mining project evaluations. The complexity of modeling this nonadditive …

A new methodology for the simulation of spatially distributed petrophysical properties
conditioned by elastic attributes as secondary variables is presented. The method, namely …

In many naturally fractured reservoirs, fractures play a crucial role in their flow and transport
properties. An approach that has recently gained popularity for modeling fracture systems is …

This paper introduces a general nonparametric method for joint stochastic simulation of
petrophysical properties using the Bernstein copula. This method consists basically in …

Failure accidents of casings, designed obeying traditional design standards that have been
amended for many times, are still happening nowadays, and existing reliability analysis …

A multivariate count model is developed by introducing a simple and practical formula. The
formulation begins with a modification of the standard ordered response model to adopt the …

This paper deals with the application of Bernstein copulas to the pricing of derivatives written
on several underlying assets. We review the main characteristics of this particular family of …

Over the last two decades, the stochastic processes and copula theories have been widely
used in financial analysis, especially in the conditional variance models. Nevertheless, there …