Statistics in IT age

报告人: 郁彬 教授，University of California at Berkeley.

时间: 2011年12月15日（周四）下午 2:00 pm－3:00 pm.

地点: 北京大学理科一号楼（数学学院）1114教室.

主办: 北京大学数学科学学院；北京大学数学研究所；北京大学统计科学中心.

Abstract:

Information technology advances have revolutionized data

collection for all fields in science and engineering. Statistics is

indispensable for extracting useful information from the massive and

high-dim data available. In this talk, I will give an overview of

research in my group on statistical machine learning and

interdisciplinary research at UC Berkeley. I will cover some theory

for sparse modeling and data projects from neuroscience, remote

sensing and text mining. In particular, I will show results from our

collaborative work with the Gallant Lab on movie reconstruction from

fMRI brian signals.

This work in Current Biology has been selected as one of the best 50

inventions of 2011 by the TIME Magazine.

欢迎感兴趣的老师和同学们积极参加！