Speaker
Max Fathi
Description
In this talk, I will discuss a recent work of Sergey Bobkov on pointwise upper bounds for convolved probability density. In that work he shows a beautiful explicit estimate using the Cramer transform of the sum, which applies in particular to subgaussian random variables. If time allows, I will discuss some applications in the context of Stein's method and rates of convergence in the CLT, based on ongoing joint work with Murat Erdogdu, Xiao Fang and Adrian Röllin.
