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On the product of correlated normal random variables and the noncentral chi-square difference distribution

Published 7 Aug 2024 in math.PR | (2408.04101v1)

Abstract: We represent the product of two correlated normal random variables, and more generally the sum of independent copies of such random variables, as a difference of two independent noncentral chi-square random variables (which we refer to as the noncentral chi-square difference distribution). As a consequence, we obtain, amongst other results, an exact formula for the probability density function of the noncentral chi-square difference distribution, a Stein characterisation of the noncentral chi-square difference distribution, a simple formula for the moments of the sum of independent copies of the product of correlated normal random variables and an exact formula for the probability that such a random variable is negative.

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