Bounds for sums of random variables over a Markov chain

DOI10.1016/0304-4149(94)90067-1zbMath0810.60066OpenAlexW2079216623MaRDI QIDQ1343582

N. Giesbrecht

Publication date: 4 April 1995

Published in: Stochastic Processes and their Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-4149(94)90067-1

zbMATH Keywords

stochastic kernelcharacteristic functionstriangular arrays of random variablesspherical concentration functionssymmetrized distribution

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items

A nonconventional local limit theorem

Cites Work

• A method for the derivation of limit theorems for sums of m-dependent random variables
• On the concentration function of a sum of independent random variables
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