Gaussian Correlation Conjecture for Symmetric Convex Sets

2008/11/04 by He-Jing Hong, Hong, He-Jing, Ze-Chun Hu +1
Computer Science · Mathematics · #28C20 #60E15 #Bayesian Methods and Mixture Models #FOS: Mathematics #Point processes and geometric inequalities #Probability (math.PR) #Stochastic processes and statistical mechanics #math.PR #msc:28C20 #msc:60E15

paper · pdf · doi:10.48550/arxiv.0811.0488

This submission has been withdrawn by the author(s)

openalex publication_date 2008/11/04 · arxiv created 2008/11/07 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Gaussian correlation conjecture states that the Gaussian measure of the intersection of two symmetric convex sets is greater or equal to the product of the measures.

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