Name
Abstract | ||
|---|---|---|
We establish a central limit theorem for Renyi entropies when the Renyi parameters belong to (0, 1) for a large class of random vectors. This complements a celebrated result of Barron (1986). As an application, we show that a general Renyi entropy power inequality fails when the Renyi parameter is in (0, 1). |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ISIT.2019.8849533 | 2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) |
Keywords | Field | DocType |
Renyi entropy, entropy power inequality, entropic central limit theorem | Entropy power inequality,Discrete mathematics,Central limit theorem,Computer science,Rényi entropy | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiange Li | 1 | 0 | 0.68 |
| Arnaud Marsiglietti | 2 | 10 | 2.93 |
| James C Melbourne | 3 | 2 | 3.75 |