欧洲杯决赛On the morning of June 12, Prof. Guangming Pan, a member of the International Statistical 欧洲杯投注Institute and a professor of Nanyang Technological University, was invited to give a lectu欧洲杯买球网re entitled Factor Modelling for Clustering High-dimensional Time Series for the teachers 欧洲杯决赛and students of the School of Statistics and Data Science. Liu Xiaohui, vice dean of the S欧洲杯比分chool of Statistics and Data Science, hosted the lecture.

In the lecture, Prof. Guangming P欧洲杯投注an introduced the application of factor modeling in clustering high dimensional time serie欧洲杯买球网s deeply. At first, he introduced the basic concepts and principles of the factor model, a欧洲杯预测nd then explained in detail how to apply the factor model to high-dimensional time series clustering.

Finally, he demons欧洲杯竞猜trated the effectiveness and superiority of the factor model in high-dimensional time seri欧洲杯比分es clustering through examples. This method can effectively deal with high-dimensional tim欧洲杯决赛e series data and can be applied to many fields, such as finance, healthcare and so on.

The 欧洲杯赛事lecture was rich in content, covering the basic principles of factor modeling, high-dimen欧洲杯决赛sional time series clustering and other aspects. After the lecture, Prof. Guangming Pan in欧洲杯比分teracted with the teachers and students and answered their questions, providing a rare lea欧洲杯赛事rning opportunity for them.

Reading:

Guangming Pan, Professor and Doctoral Supervisor of Nan欧洲杯竞猜yang Technological University, graduated from the Department of Statistics and Finance of 欧洲杯决赛University of Science and Technology of China in 2005. Then he did post-doctoral and acade欧洲杯比分mic exchanges in National University of Singapore, National Sun Yat-Sen University in Taiw欧洲杯预测an, and University of Science and Technology of Eindhoven in the Netherlands, and has been 欧洲杯投注working in Nanyang Technological University of Singapore since 2008, and has been selecte欧洲杯决赛d as Elected Member of International Statistical Institute since 2013. In 2013, he was ele欧洲杯买球网cted Member of International Statistical Institute.

(By Li Si Yu, Lin Yang, Tao Chunhai, Zhang Mengyun)