高维数据统计推断专题讲习班

The idea and technique of dimension reduction in high-dimensional data analysis have been widely used in many hotspots, such as computational biology, statistical genetics, quantitative finance, etc. With the advent of the era of big data, high-dimensional data statistical analysis is deeply connected and highly intersected with the branches of data science such as machine learning, compressed sensing and big data analysis, and it is still one of the most active research frontiers in statistics. In order to let the domestic graduate students majoring in statistics understand the current status of high-dimensional data statistical analysis research and further promote the development of the domestic statistics department in this field, to expand the research horizon of domestic statistics graduate students, to lead related young and middle-aged scholars to enter the frontier of high-dimensional data statistical inference, and to cultivate new forces who are interested in research in high-dimensional statistical analysis, this project plans to select 30 outstanding graduate students, and invite several well-known overseas experts to start a workshop in Yunnan University for three weeks, focusing on the following topics: Probability Foundations for High-Dimensional Data Statistical Inference; Classical Models and Methods for High Dimensional Data Analysis; Large-scale Global and Simultaneous Inference; Bayesian Dimensional Reduction and Variable Selection, and to conduct related seminars.

高维数据分析中的降维思想和技术已被广泛应用于众多热点领域，诸如计算生物学、统计遗传学、计量金融学等。随着大数据时代的到来，高维数据统计推断与统计机器学习、压缩感知和大数据分析等数据科学分支产生了深刻的联系和高度的交叉，成为当前国际统计学界尤为活跃的前沿研究领域之一。为了让国内更多的统计学类专业研究生了解当前高维数据统计分析研究现状，进一步促进国内统计学科在该领域的发展，引导研究生进入高维数据统计推断这一统计学科前沿，培养有志于高维统计分析相关领域研究的新生中坚力量，本项目拟遴选30名优秀研究生，邀请数位海内外知名专家围绕高维数据统计推断的概率基础、高维数据分析的经典模型和方法、统计学中的再生核Hilbert空间方法、大范围统计推断及其应用、贝叶斯降维与变量选择等主题在云南大学进行为期3周的授课，并开展相关的研讨活动。

高维数据分析中的降维思想和技术已被广泛应用于众多热点领域，诸如计算生物学、统计遗传学、计量金融学等。随着大数据时代的到来，高维数据统计推断与统计机器学习、压缩感知和大数据分析等数据科学分支产生了深刻的联系和高度的交叉，成为当前国际统计学界尤为活跃的前沿研究领域之一。为了让国内更多的统计学类专业研究生了解当前高维数据统计分析与数据智能的研究现状，进一步促进国内统计学科在该领域的发展，引导研究生进入高维数据统计推断和数据智能这一统计学科前沿，培养有志于高维数据统计分析相关领域研究的新生中坚力量，本项目遴选30名优秀研究生及10余名青年教师，于2022年7月和11月分别邀请数位海内外知名专家围绕数据科学的概率统计基础、机器学习理论与技术、数据智能的统计方法、高维数据的统计推断等主题以线上线下相结合的方式开展了为期三周的授课，并开展相关的线上学术报告和研讨活动。