On May 20th, Prof.Gongshi Chen from Iowa University visited the Center and Gave a Talk Entitled Quasi-Likelihood Estimation of Censored Autoregressive Model with Exogenous Variables.
On May 20th, Prof.Gongshi Chen from Iowa University visited the Center and Gave a Talk Entitled Quasi-Likelihood Estimation of Censored Autoregressive Model with Exogenous Variables.
On May 17th, Prof. Hansheng Wang From Peking University and Gave a talk Titled Network Vector Autoregression.
On Apr 25th, Prof. Chongzhi Di from Washington University Visited the Center and Gave a Talk Titled Hypothesis testing in functional linear models.
On Apr 23th, Prof.Chao Pan from Purdue University Visited the Center and Gave a Talk Titled Systems and Platforms for Big Data Statistical Analsis.
On Apr 18th, Prof. Dag Tjøstheim from Universitetet i Bergen Visited the Center and Gave a Talk Titled Local Gaussian approximation: Theory and applications.
On Apr 7th, Prof.Qiwei Yao from The London School of Economics and Political Science Visits the Center and Gave a Talk Titled Kriging Over Space and Time Based on a Latent Reduced Rank Structure.
On March 14th, Prof.Yu Zhu from Purdue University Visited the Center and Gave a Talk Titled Optimal Kernel Group Transformation.
On Dec.21, 2015, Porfessor Ping Ma from University of Georgia visited the Center and gave a talk entitled “Analyzing Twitter Data via Smoothing Spline ANOVA”, introduced his recent work in this field.
With the support of Tsinghua University and the colleagues of statistical academia, the Center for Statistical Science have made continues progress in talents introduction and discipline construction since June 2015. To map out a plan for the future development, the center held the Development Planning Symposium on Dec. 12, 2015. More than 20 senior statisticians attended and gave many valuable ideas and suggestions.
Dec. 17, 2015, Associate Professor, Steve Qin, from Department of Biostatistics and Bioinformatics from Emory University visited the Center and gave a talk entitled “Improving hierarchical models using historical data with applications to microarray data analysis”, introduced his recent work in this field.