On the almost sure convergence for a linear process generated by negatively associated random variables in a Hilbert space

DOI10.1016/J.SPL.2008.01.082zbMath1283.60059OpenAlexW2015992255MaRDI QIDQ730718

Mi-Hwa Ko, Tae-Sung Kim, Kwang-Hee Han

Publication date: 30 September 2009

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2008.01.082

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Stationary stochastic processes (60G10) Functional limit theorems; invariance principles (60F17)

Cites Work

• Unnamed Item
• Time series: theory and methods
• An invariance principle for weakly associated random vectors
• A note on the almost sure convergence of sums of negatively dependent random variables
• Negative association of random variables, with applications
• Some Concepts of Dependence
• Association of Random Variables, with Applications

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