DeepAI AI Chat
Log In Sign Up

Stein's method and the distribution of the product of zero mean correlated normal random variables

06/11/2019
by   Robert E. Gaunt, et al.
The University of Manchester
0

Over the last 80 years there has been much interest in the problem of finding an explicit formula for the probability density function of two zero mean correlated normal random variables. Motivated by this historical interest, we use a recent technique from the Stein's method literature to obtain a simple new proof, which also serves as an exposition of a general method that may be useful in related problems.

READ FULL TEXT

page 1

page 2

page 3

page 4

07/11/2018

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

The problem of finding an explicit formula for the probability density f...
06/05/2021

The basic distributional theory for the product of zero mean correlated normal random variables

The product of two zero mean correlated normal random variables has rece...
08/22/2021

Random polynomials and their zeros

We investigate the distribution of zeros of random polynomials with inde...
05/19/2020

A Toolbox for the Radial and Angular Marginalization of Bivariate Normal Distributions

Bivariate normal distributions are often used to describe the joint prob...
10/23/2022

Tight relative estimation in the mean of Bernoulli random variables

Given a stream of Bernoulli random variables, consider the problem of es...
02/13/2018

The Quotient of Normal Random Variables And Application to Asset Price Fat Tails

The quotient of random variables with normal distributions is examined a...
08/07/2023

Not Linearly Correlated, But Dependent: A Family of Normal Mode Copulas

When scholars study joint distributions of multiple variables, copulas a...