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Probability and Moment Inequalities for Additive Functionals of Geometrically Ergodic Markov Chains

  • National Research University

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, we establish moment and Bernstein-type inequalities for additive functionals of geometrically ergodic Markov chains. These inequalities extend the corresponding inequalities for independent random variables. Our conditions cover Markov chains converging geometrically to the stationary distribution either in weighted total variation norm or in weighted Wasserstein distances. Our inequalities apply to unbounded functions and depend explicitly on constants appearing in the conditions that we consider.

Original languageEnglish
Pages (from-to)2184-2233
Number of pages50
JournalJournal of Theoretical Probability
Volume37
Issue number3
DOIs
Publication statusPublished - 1 Sept 2024

Keywords

  • 60E15
  • 60J20
  • 65C40
  • Concentration inequalities for Markov chains
  • Cumulant expansion

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