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05-14吴文俊数学重点实验室-吴文俊讲座【Jun Liu】
报告题目:Thinking Statistically -- from small data to big data   
报告人:Jun Liu(Department of Statistics,Harvard University)
时间:5月14日(周一)下午15:30--16:30
地点:五教5103教室
摘要: Technological advances in recent years have resulted in a very fast accumulation of a huge amount of 
high-dimensional data in many fields, e.g., biomedical researches, finance, internets, e-commerce, etc, and 
give rise to the buzz word "Big Data" popular throughout the world. Recent successes of deep learning and 
other machine learning tools have also fueled the recent hype in artificial intelligence (AI). I believe that, 
besides their traditional roles in survey sampling and population studies, statistical concepts and methodologies 
are still key to understanding these AI tools, to realizing the full potential of the modern-day data, and to 
advancing future developments of new data models and AI tools. I will describe a few examples, mostly from my own 
research work, illustrating important roles of statistics in elevating these fields. They include computational 
biology, medicine, engineering, and economics.


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  科大主页 | 国家数学与交叉科学中心(合肥) | 中科院吴文俊数学重点实验室 |
中科院数学与系统科学研究院 | 北京国际数学研究中心 | 安徽省数学会