On asymptotic behavior of U-statistics for associated random variables
Mansi Garg, Isha Dewan

TL;DR
This paper investigates the long-term behavior of U-statistics derived from stationary associated random variables, focusing on kernels with bounded Hardy-Krause variation, to understand their asymptotic properties.
Contribution
It provides new insights into the asymptotic behavior of U-statistics for associated variables with specific kernel variation conditions.
Findings
Established limiting distributions for U-statistics in this setting
Extended existing results to kernels with bounded Hardy-Krause variation
Provided theoretical foundations for analyzing associated random variables
Abstract
Let be a sequence of stationary associated random variables. For such a sequence, we discuss the limiting behavior of U-statistics based on kernels which are of bounded Hardy-Krause variation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsProbability and Risk Models · Stochastic processes and statistical mechanics · Bayesian Methods and Mixture Models
