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Random discrete copulas

Damjana Kokol Bukovšek, Blaž Mojškerc, Nik Stopar

Abstract

We introduce the notion of a bivariate random discrete copula on an equidistant mesh and explore its stochastic properties. A random discrete copula is a discrete random field, hence, its value at a given point on the mesh is a random variable. We determine the distribution of this random variable and calculate its expected value and variance. We also consider bilinear extension of a random discrete copula to a random field over the whole unit square.

Random discrete copulas

Abstract

We introduce the notion of a bivariate random discrete copula on an equidistant mesh and explore its stochastic properties. A random discrete copula is a discrete random field, hence, its value at a given point on the mesh is a random variable. We determine the distribution of this random variable and calculate its expected value and variance. We also consider bilinear extension of a random discrete copula to a random field over the whole unit square.
Paper Structure (6 sections, 6 theorems, 78 equations, 3 figures)

This paper contains 6 sections, 6 theorems, 78 equations, 3 figures.

Key Result

Proposition 3.2

For any $(u,v) \in \Delta_k$ and $t \in \delta_k$, we have

Figures (3)

  • Figure 1: Mass distribution of discrete copula $C_\pi$ from Example \ref{['ex:permutation']}.
  • Figure 2: The densities of the random variables $Y_4(u,v)$ for all $(u,v) \in \Delta_4$ with $u,v \notin \{0,1\}$.
  • Figure 3: Heat-maps of the densities of random variables $Y_4(u,v)$ for all $(u,v) \in \Delta_4$.

Theorems & Definitions (18)

  • Definition 2.1
  • Definition 2.2
  • Definition 3.1
  • Proposition 3.2
  • proof
  • Example 3.3
  • Theorem 3.4
  • proof
  • Proposition 3.5
  • proof
  • ...and 8 more