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4月3日Erick (Zhaolin) Li 教授讲座通知

时间:2024-04-01点击数:打印

时间 2024年4月3日下午 15:00-17:00 姓名 Erick (Zhaolin) Li 教授
地点 A南302

讲座主题:Two New Semi-Parametric Boundsand Their Applications

主讲人:Erick (Zhaolin) Li 教授悉尼大学

时间:2024年4月3日下午15:00-17:00

地点:A南302


【讲座内容】:Many business processes are based on accumulated random realizations which have an expected value and a measure of variability. We revisit the tail behaviour of such sums when individual realizations are independent and develop a simple new lower bound on the tail probability as well as upper bound on the expected linear loss. The distribution of the realizations is unrestricted other than the assumed mean and variance. Our sharp bounds significantly improve over the existing aggregation results, which often ignore independence, and open up abundant practical applications including improved pricing of bundles, more precise option pricing, more efficient insurance design, and better inventory management.

【Erick (Zhaolin) Li 教授简介】:Dr. Erick (Zhaolin) Li received a Ph.D,in Business Administration from The Pennsylvania State University, a Master of Commerce in Accounting from The University of New South Wales, and a Bachelor of Engineering in Materials Science & Industrial Engineering from Shanghai Jiao Tong University. Dr. Li has been with The University of Sydney Business Schoolsince January 2009. Before moving to Sydney, he had worked in Ernst &Young LLP, Southern Arkansas University, and City University of HongKong. His research interests spans two areas of interest: supply chain management(SCM) and the interfaces between operations management (OM) and other areas. He has published research articles in Decision Sciences, Management Science, and Production & Operations Management. Dr. Li is among Asia’s top scholars in Operations Management, according to Babbar et al., (2017) that was published in the International Journal of Production Economics. Dr. Li is also among the top 25 Supply Chain Management (SCM) scholars of Asia, according to a subsequent study done by Babbar et al.(2018).