In probability theory, the method of moments is a way of proving convergence in distribution by proving convergence of a sequence of moment sequences. This method was introduced by Chebyshev for proving the Central Limit Theorem (CLT). In this talk, I will introduce the method of moments and then apply it to prove CLT. Time permitting, we'll briefly discuss the proof of Wigner's Semicircle Law for Random Matrices. Speaker(s): Tejaswi Tripathi (University of Michigan)
| Building: | East Hall |
|---|---|
| Event Type: | Workshop / Seminar |
| Tags: | Mathematics |
| Source: | Happening @ Michigan from Department of Mathematics, Student Analysis Seminar - Department of Mathematics |
