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Article . 2018
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A note on the distribution of the product of zero‐mean correlated normal random variables

A note on the distribution of the product of zero-mean correlated normal random variables
Authors: Robert E. Gaunt;

A note on the distribution of the product of zero‐mean correlated normal random variables

Abstract

The problem of finding an explicit formula for the probability density function of two zero‐mean correlated normal random variables dates back to 1936. Perhaps, surprisingly, this problem was not resolved until 2016. This is all the more surprising given that a very simple proof is available, which is the subject of this note; we identify the product of two zero‐mean correlated normal random variables as a variance‐gamma random variable, from which an explicit formula for the probability density function is immediate.

Country
United Kingdom
Keywords

Mathematics - Statistics Theory, variance-gamma distribution, Statistics Theory (math.ST), Distribution theory, product of correlated normal random variables, probability density function, FOS: Mathematics, Actuarial science and mathematical finance, Statistical distribution theory, 60E05, 62E15

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
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