| Speaker : | Elie De Panafieu |
| Nokia Bell Labs France | |
| Date: | 05/04/2023 |
| Time: | 10:30 am - 11:30 am |
| Location: | Room 4B01 |
Abstract
The Central Limit Theorem states that some sums of random variables, once renormalized, converge to the Gaussian distribution. Some parameters of large combinatorial objects have a similar flavor but do not satisfy the independence assumption. I will present tools from analytic combinatorics to handle those parameters and prove Gaussian limit laws (and many others!).