Copula function is a function that links joint distribution function of random vectors and its corresponding components marginal distribution function. It is an important tool to describe the ...

Additionally, HAC models provide detailed information about marginal cumulative distribution functions at each node of the hierarchical tree. When a single generator function is applied, these models ...

Zengri Wang, Thomas A. Louis, Matching Conditional and Marginal Shapes in Binary Random Intercept Models Using a Bridge Distribution Function, Biometrika, Vol. 90, No. 4 (Dec., 2003), pp. 765-775 ...

In many applications, the outcome of interest is a mark such that its observation is contingent upon occurrence of an event. With incomplete follow-up data, the marginal mark distribution is, however, ...

This paper looks at the possibility of modelling MPEG4 traffic at the group of picture (GoP) level with autoregressive models. Even though these models are short-range dependent the autocorrelation ...