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Activities

Prof. Huazhen Lin from Southwestern University of Finance and Economics Visits the Center and Gives a Talk

On March 21th, Professor Huazhen Lin from Southwestern University of Finance and Economics visited the Center and gave a talk titled  A semiparametrically efficient estimator of the time-varying effects for survival data with time-dependent treatment* .

Prof. Hao Zhang from Purdue Unviersity Visits the Center and Gives a Talk

On March 13th, Prof. Hao Zhang from Purdue University visited the Center and gave a talk titled The Big Data Issues in Spatial Statistics.      

Prof. Bin Dong from Peking University Visits the Center and Gives a Talk

On March 6, Prof. Bin Dong from Peking University visited the Center and gave a talk.

Prof. Qihua Wang from Academy of Mathematics and Systems Science Visits the Center and Gives a Talk

On Feb.27, Prof. Qihua Wang from Academy of Mathematics and Systems Science visited the Center and gave a talk titled How to make model-free feature screening approaches for full data applicable to the case of missing response ?

Prof. Rong Chen from Rutgers University Visits the Center and Gives a Talk

On February 10th, Prof. Rong Chen from Rutgers University visited the Center and gave a talk entitled Factor Model for High Dimensional Matrix Valued Time Series.

Prof. Qifan Song from Purdue University Visits the Center and Gives a Talk

On January 4th,the assistant Prof. Qifan Song from Purdue University visited the Center and gave a talk entitled Nearly Optimal Bayesian Shrinkage for High Dimensional Regression.

Prof. Ning Hao from University of Arizona Visits the Center and Gives a Talk

On December 26th,Prof. Ning Hao from University of Arizona visited the Center and gave a talk Model Selection for High Dimensional Quadratic Regression Models.

Prof. Hengjian Cui From Capital Normal University Visits the Center and Gives a Talk

On December 14th, Prof.Cui Hengjian from Capital Normal University visited the Center and gave a talk entitled Test of Significance on High Dimensional Covariance Matrix Structures.

In this big data era of information explosion, through effective data analysis, we can Discover knowledge and laws in model data, making data a powerful driving force for social progress.

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