Lecturer: Cao Jiguo, association professor of Simon Fraser University, Vancouver.

Date: 18th August 8:30, join in the Tencent meeting with ID: 217 051 496; 21th August 8:30, join in the Tencent meeting with ID: 960 156 710

Organizer: School of Mathematics and Statistics.

Warmly Welcome!

Abstract of report:In big data era, a lot of data is observed and recorded at multiple time or space points. Such complicated data can be regarded as a function of space and time, which is what we call functional data in statistics. In contrast with traditional data analysis (for example, multivariate statistical analysis), in the functional data analysis a dynamic-shape-curve function serves as“Raw Data”and is spatially characterized by its infinite dimensions. In this case, such function, with its wider applicability, can meet the demand of a lower data sampling frequency. Besides, by making use of some methods, for example“Functional Principal Components Analysis”, peculiar to the functional data analysis, we can be able to discover the dynamic evolution law of high-dimensional data and analyze the essential characteristics of complicated data to give a more reasoned and remarkable data interpretation. This report is going to introduce the practical use of two major methods of the functional data analysis: functional principal components analysis method and method of functional linear model.

Doctor Cao Jiguo is an associate professor in the Department of Statistics and Actuarial Science, Simon Fraser University of Canada, specially appointed professor in Canada Research Chair in Data Science, executive member of International Association of pan-Chinese Statisticians in Canada, associate editor of Biometrics, Canadian Journal of Statistics, Journal of Agricultural, Biological, and Environmental Statistics and Statistics and Probability Letters. Cao obtained his doctorate from McGill University of Canada, worked in a post-doctoral station of Yale University in 2007. He long-term research focus is on functional data analysis and parameter estimation for differential equations. Cao was honored with a Fellow at Statistical and Applied Mathematical Sciences Institute and with Outstanding Scholar Award in Statistical Society of Canada. In recent years, he has published more than 70 papers in such international journals of statistics as Journal of the American Statistical Association (JASA), Journal of the Royal Statistical Society, Series B (JRSSB) and Biometrics.