An exponential inequality for orthomartingale differences random fields and some applications
Davide Giraudo

TL;DR
This paper develops an exponential inequality for orthomartingale difference random fields and demonstrates its applications in convergence rates and invariance principles.
Contribution
It introduces a new exponential inequality specifically for orthomartingale difference random fields, advancing theoretical understanding.
Findings
Provides bounds for convergence rates in the law of large numbers
Establishes a H"olderian weak invariance principle using the inequality
Offers tools for analyzing random fields in probability theory
Abstract
In this paper, we establish an exponential inequality for random fields, which is applied in the context of convergence rates in the law of large numbers and H\"olderian weak invariance principle.
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 · Financial Risk and Volatility Modeling
