A probabilistic approach to local limit theorems

A probabilistic approach to local limit theorems

Probability Seminar
Feb 2, 2011, 03:10 PM - 04:00 PM | 332 Evans Hall | Happening As Scheduled
Nathan Ross, Department of Statistics, University of California at Berkeley
We discuss a new method for obtaining a local limit theorem (LLT) from a known distributional limit theorem. The method rests on a simple analytic inequality which can be applied directly after quantifying the "smoothness" of the distribution of interest. These smoothness terms are non-trivial to handle and so we also provide new tools for this purpose. We illustrate our approach by deriving LLTs...