A fourth moment inequality for functionals of stationary processes
Olivier Durieu

TL;DR
This paper establishes a fourth moment inequality for partial sums of functionals of strongly ergodic Markov chains, aiding the study of empirical process invariance principles and applicable to certain dynamical systems.
Contribution
It introduces a new fourth moment bound tailored for strongly ergodic Markov chains and dynamical systems with specific spectral properties, enhancing existing analytical tools.
Findings
Provides a new fourth moment inequality for Markov chains
Extends the inequality to certain dynamical systems
Includes applications demonstrating practical relevance
Abstract
In this paper, a fourth moment bound for partial sums of functional of strongly ergodic Markov chain is established. This type of inequality plays an important role in the study of empirical process invariance principle. This one is specially adapted to the technique of Dehling, Durieu and Voln\'y (2008). The same moment bound can be proved for dynamical system whose transfer operator has some spectral properties. Examples of applications are given.
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.
