On the morning of June 12, Prof. Guangming Pan, a member of the International Statistical Institute and a professor of Nanyang Technological University, was invited to give a lecture entitled Factor Modelling for Clustering High-dimensional Time Series for the teachers and students of the School of Statistics and Data Science. Liu Xiaohui, vice dean of the School of Statistics and Data Science, hosted the lecture.

In the lecture, Prof. Guangming Pan introduced the application of factor modeling in clustering high dimensional time series deeply. At first, he introduced the basic concepts and principles of the factor model, and then explained in detail how to apply the factor model to high-dimensional time series clustering.

Finally, he demonstrated the effectiveness and superiority of the factor model in high-dimensional time series clustering through examples. This method can effectively deal with high-dimensional time series data and can be applied to many fields, such as finance, healthcare and so on.

The lecture was rich in content, covering the basic principles of factor modeling, high-dimensional time series clustering and other aspects. After the lecture, Prof. Guangming Pan interacted with the teachers and students and answered their questions, providing a rare learning opportunity for them.

Reading:

Guangming Pan, Professor and Doctoral Supervisor of Nanyang Technological University, graduated from the Department of Statistics and Finance of University of Science and Technology of China in 2005. Then he did post-doctoral and academic exchanges in National University of Singapore, National Sun Yat-Sen University in Taiwan, and University of Science and Technology of Eindhoven in the Netherlands, and has been working in Nanyang Technological University of Singapore since 2008, and has been selected as Elected Member of International Statistical Institute since 2013. In 2013, he was elected Member of International Statistical Institute.

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