报告题目：On Performances of Some Algorithms for Multivariate Data
报告人： Jin Wang (王晋) 副教授
Northern Arizona University, USA (美国北亚利桑那大学)
报告时间：2019年06月06日 (星期四) 9:30-10:30
报告摘要：In modern statistics, almost all statistical methods are implemented through algorithms. Thus performance of a statistical method is directly affected by the algorithm for the method. Here we study two well-known algorithms for multivariate data. It is found that the performances of both algorithms decline as dimension increases. The effect of data shape on the performances of the algorithms is also studied. Our finding is that the performances of both algorithms decrease as kurtosis increases. Some adjustments for those algorithms will be discussed as well, along with some new descriptive measures for multivariate data.