Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 93 tok/s
Gemini 2.5 Pro 35 tok/s Pro
GPT-5 Medium 28 tok/s
GPT-5 High 30 tok/s Pro
GPT-4o 81 tok/s
GPT OSS 120B 439 tok/s Pro
Kimi K2 197 tok/s Pro
2000 character limit reached

Strong laws of large numbers for sequences of blockwise $m$-dependent and orthogonal random variables under sublinear expectations (2504.07706v2)

Published 10 Apr 2025 in math.PR

Abstract: In this paper, we establish some strong laws of large numbers (SLLN) for non-independent random variables under the framework of sublinear expectations. One of our main results is for blockwise $m$-dependent random variables, and another is for orthogonal random variables. Both are the generalizations of SLLN for independent random variables in sublinear expectation spaces.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)