Abstract | ||
---|---|---|
A method for finding asymptotic lower bounds on information divergence is developed and used to determine the rate of convergence in the Central Limit Theorem. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1016/j.endm.2005.07.076 | GTIT-C |
Keywords | Field | DocType |
central limit theorem,information divergence,lower bound,rate of convergence | Empirical process,Central limit theorem,Divergence,Mathematical analysis,Fisher information,Rate of convergence,Mean value theorem,Delta method,Mathematics,Kullback–Leibler divergence | Conference |
Volume | ISSN | ISBN |
21 | Electronic Notes in Discrete Mathematics | 3-540-46244-9 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peter Harremoës | 1 | 185 | 20.10 |
rudolph ahlswede | 2 | 0 | 0.34 |
e t al | 3 | 5 | 1.22 |