<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Correlated Random Variables on gdpark.blog</title><link>https://gdpark.blog/tags/correlated-random-variables/</link><description>Recent content in Correlated Random Variables on gdpark.blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 18 Dec 2016 00:00:00 +0000</lastBuildDate><atom:link href="https://gdpark.blog/tags/correlated-random-variables/index.xml" rel="self" type="application/rss+xml"/><item><title>Cholesky Decomposition &amp; Correlated Random Variables [Financial Engineering Programming #22]</title><link>https://gdpark.blog/posts/financial-engineering-22-cholesky-decomposition-correlated-random-variables/</link><pubDate>Sun, 18 Dec 2016 00:00:00 +0000</pubDate><guid>https://gdpark.blog/posts/financial-engineering-22-cholesky-decomposition-correlated-random-variables/</guid><description>A casual walkthrough of Cholesky decomposition — from real and Hermitian matrices to positive definite covariance matrices — and why it all matters in financial engineering.</description></item></channel></rss>