Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

The Annals of Statistics, Vol. 9, No. 4 (Jul., 1981), pp. 879-885 (7 pages) In 1959 A. Renyi proposed a set of axioms for a measure of dependence for pairs of random variables. In the same year A.

Jensen gave a lower bound to Eρ (T), where ρ is a convex function of the random vector T. Madansky has obtained an upper bound via the theory of moment spaces of multivariate distributions. In ...