Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture delves into convergence criteria in relation to martingales, covering topics such as convergence in probability and almost sure convergence. The instructor explains the theorems of monotone convergence and dominated convergence, which allow for the interchange of limit and expectation. The lecture also introduces the concept of Cauchy criterion for almost sure convergence, providing insights into verifying the convergence of a sequence of random variables. Additionally, the instructor discusses the Cauchy criterion for martingales, highlighting its role in determining the convergence of a martingale sequence. The lecture concludes with the presentation of the first theorem of martingale convergence, emphasizing the importance of square integrable martingales.