Abstract
A concentration property of the functional - log f(X) is demonstrated, when a random vector X has a log-concave density f on Rn. This concentration property implies in particular an extension of the Shannon-McMillan-Breiman strong ergodic theorem to the class of discrete-time stochastic processes with log-concave marginals.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1528-1543 |
| Number of pages | 16 |
| Journal | Annals of Probability |
| Volume | 39 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 2011 |
Keywords
- Asymptotic equipartition property
- Concentration
- Entropy
- Log-concave distributions
- Shannon-Mcmillan-Breiman theorem