Click here to flash read.
arXiv:2403.19209v1 Announce Type: new
Abstract: In this paper, the complete moment convergence for the partial sums of moving average processes $\{X_n=\sum_{i=-\infty}^{\infty}a_iY_{i+n},n\ge 1\}$ is proved under some proper conditions, where $\{Y_i,-\infty<\infty\}$ is a doubly sequence of identically distributed, negatively dependent random variables under sub-linear expectations and $\{a_i,-\infty<\infty\}$ is an absolutely summable sequence of real numbers. The results established in sub-linear expectation spaces generalize the corresponding ones in probability space.
Click here to read this post out
ID: 809025; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: March 29, 2024, 7:32 a.m.
Changes:
Dictionaries:
Words:
Spaces:
Views: 21
CC:
No creative common's license
No creative common's license
Comments: