Several important multivariate probability inequalities can be formulated in terms of multivariate convolutions of the form ∫ $f_{1}(x)f_{2}(x-\theta )dx$, where ...

This is a preview. Log in through your library . Abstract ABSTRACT A unified turbulence and cloud parameterization based on multivariate probability density functions (PDFs) has been incorporated into ...

Copulas are functions that enable the construction of multivariate probability distributions by binding together univariate marginal distributions. Central to probability theory, they allow ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...