SPEAKER: Professor Victor de la Pena

ABSTRACT:

Self-normalized processes arise naturally in statistical applications. Being unit free, they are not affected by scale changes. Moreover self-normalization often eliminates or weakens moment assumptions. In this talk, I will present several exponential and moment inequalities for self-normalized processes as well as their connection to maximum likelihood estimators.