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Activities

Prof. James Zou from Stanford University Visits the Center and Gives a Talk

On August 24th, Prof. James Zou from Stanford University visited the center and gave a talk titled Deep learning for genomics and biomedicine.

Prof. Aixin Tan from University of Lowa Visits the Center and Gives a Talk

On July 19th, Prof. Aixin Tan from University of Lowa visited the center and gave a talk titled New Classes of Multivariate Covariance Functions.

Prof. Yuhong Yang from University of Minnesota Visits the Center and Gives a Talk

On July 13, Prof. Yuhong Yang from University of Minnesota visited the center and gave a talk titled Performance Assessment of High-dimensional Variable Identification.

The Tsinghua Statistical Summer School 2017 Held

The Tsinghua Statistical Summer School 2017 was held from July 3 to 13 at Tsinghua University. The Center for Statistical Science of THU invited overseas famous statisticians to teach  theory, method and application of statistics and data science. The event provided a platform for students and young statisticians to communicate and to broaden their horizon. […]

Prof. Hongyu Zhao from Yale University Visits the Center

On May 12th, Prof. Hongyu Zhao from Yale University visited the Center and had meeting with the faculty and students.

Prof. Hongzhe Li from University of Pennsylvania Visits the Center and Gives a Talk

On May 10th, Prof. Hongzhe Li from University of Pennsylvania visited the Center and gave a talk titled  Integrative Analysis for Incorporating the Microbiome to Improve Precision Medicine.

Prof. Tatiyana Apanasovich from George Washington University Visits the Center and Gives a Talk

On May 8th, Prof. Tatiyana Apanasovich from George Washington University visited the Center and gave a talk titled New Classes of Multivariate Covariance Functions.

Porf. Yongmiao Hong from Cornell University Visits the Center and Gives a Talk.

On April. 25, Prof. Yongmiao Hong from Cornell University visited the center and gave a talk titled  Selection of An Optimal Rolling Window in Time-varying Predictive Regression .  

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