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.
欢迎广大师生参加！