“海量数据的统计学习和推断”上海暑期学校

The main research issues nowadays tend to be high dimensional. Traditional data analysis is likely to face obstacle. Recently, data-driven research has become the development strategy of applied mathematics. Massive data analysis driven by multi-disciplinary teams got a lot of attentions. Many different technologies on dimension reduction have been developed. Notably, Chinese researchers did very important contributions. This summer school will inherit the success of Shanghai Summer School Series on "Analysis and Numerics in Modern Science" since 2004. It will focus on the topics of "An introduction on penalized methods", "Contemporary multivariate analysis", "Compressive sensing", "Sure independent screening" and "High-dimenisonal covariance matrices" and recruit up to hundred graduate students and young researchers from different universities. No doubt it will improve the talent education and push interdisciplinary research to high level.

现代科学研究的问题往往是高维问题，传统分析方法遇到困难。近年来，以数据驱动的应用数学研究已列入数学发展战略，高维数据处理的研究在多学科推动下得到高度重视和发展，出现了很多降维方法，华人学者在这方面作出了重要贡献。本次暑期学校将以上海暑期学校系列“现代数学中的分析和计算”为平台，讲述“罚方法简介”、“当代多变量分析”、“压缩感知”、“安全独立筛选”、“高维协方差矩阵”等多个专题，招收上百名国内高校研究生和青年教师参加，推动国内相关研究，培养年青人才。

近年来 ，以数据驱动的应用数学研究在现代科学研究中越来越受到重视，以高维数据处理为研究目的的降维方法得到了很多海内外学着的关注。本次暑期学校以“海量数据的统计学习与推断”为主题，邀请了多位世界有影响的海外华人学者，进行了为期三周的统计方法的授课和专题报告，吸引了来自众多院校的一百多名学生和青年教师参与，推动了相关问题的研究, 在兄弟院校中起到了良好的反响。