Asset Details
Do you wish to reserve the book?
Weak and strong law of large numbers for weakly negatively dependent random variables under sublinear expectations
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Weak and strong law of large numbers for weakly negatively dependent random variables under sublinear expectations
Do you wish to request the book?
Weak and strong law of large numbers for weakly negatively dependent random variables under sublinear expectations
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Weak and strong law of large numbers for weakly negatively dependent random variables under sublinear expectations
2025
Overview
In the framework of sublinear expectations, we prove the Marcinkiewicz-Zygmund type weak law of large numbers for an array of row-wise weakly negatively dependent (WND) random variables. Moreover, we obtain the strong law of large numbers for linear processes generated by WND random variables. Our theorems extend the existed achievements of the law of large numbers under sublinear expectations.
Publisher
American Institute of Mathematical Sciences
Subject
