
СЕМИНАРЫ 
Большой семинар кафедры теории вероятностей МГУ



Perspective of Selfnormalized Limit Theory QiMan Shao^{} ^{} Южный университет науки и технологий, КНР 

Аннотация: Limit theory plays an important role in probability and statistics. Classical limit theorems such as the law of large numbers , the central limit theorem and the Craḿer moderate deviation theorem, under deterministic standardization, have been well developed and understood. However, standardized coeﬃcients in applications are more often random, or selfnormalized. In this talk, we shall review recent developments of limit theory for selfnormalized processes as well as applications to statistical inference. 