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 language | English |
|---|---|
| Pages (from-to) | 2184-2233 |
| Number of pages | 50 |
| Journal | Journal of Theoretical Probability |
| Volume | 37 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Sept 2024 |
Keywords
- 60E15
- 60J20
- 65C40
- Concentration inequalities for Markov chains
- Cumulant expansion
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