On complete convergence for weighted sums of arrays of dependent random variables
From MaRDI portal
Publication:657146
DOI10.1155/2011/630583zbMath1231.60025OpenAlexW1982465117WikidataQ58654360 ScholiaQ58654360MaRDI QIDQ657146
Publication date: 16 January 2012
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2011/630583
complete convergence\(\varphi\)-mixing and \(\rho^\ast\)-mixing random variablesnegatively associated and negatively dependent random variables
Related Items (4)
The almost sure local central limit theorem for products of partial sums under negative association ⋮ On the complete convergence for sequences of random vectors in Hilbert spaces ⋮ Complete convergence of weighted sums for arrays of rowwise \(\varphi \)-mixing random variables. ⋮ On complete moment convergence of weighted sums for arrays of row-wise negatively associated random variables
Cites Work
- Unnamed Item
- Unnamed Item
- On complete convergence for weighted sums of \(\varphi \)-mixing random variables
- Complete convergence for weighted sums of random variables
- On the complete convergence of weighted sums for arrays of negatively associated variables
- A comparison theorem on moment inequalities between negatively associated and independent random variables
- Negative association of random variables, with applications
- Maximal inequalities and an invariance principle for a class of weakly dependent random variables
- On the rate of complete convergence for weighted sums of arrays of Banach space valued random elements with application to moving average processes
- On complete convergence for arrays of rowwise negatively associated random variables
- A Note on the Rate of Complete Convergence for Weighted Sums of Arrays of Banach Space Valued Random Elements
- Some Concepts of Dependence
- Complete Convergence and the Law of Large Numbers
- On a Theorem of Hsu and Robbins
This page was built for publication: On complete convergence for weighted sums of arrays of dependent random variables
