Title: An Introduction to High-dimensional High-order Statistical Analysis
Lecturer: A/Prof. Anru Zhang , Department of Statistics, University of Wisconsin-Madison
Time: 2019.6.20 10:00-11:00
Location:A618
Invited by: Ma Yingying
Abstract:High-dimensional high-order arrays, i.e., values aligned in large scale tensors along with three or more ways, commonly arise from a wide range of modern applications due to revolutionary developments in science and technology. In this talk, we give an introduction to recent advances of high-dimensional high-order statistical analysis. We will go through basic tensor algebra and overview some basic statistical tensor problems. These problems exhibit distinct aspects in both statistics and computation compared to the traditional low-dimensional or low-order problems.
About the presenter:
Anru Zhang is an assistant professor at the Department of Statistics, University of Wisconsin-Madison. He is also affiliated to Machine Learning Group and Institute for Foundations of Data Science at UW-Madison. He obtained the PhD degree from University of Pennsylvania in 2015 and the bachelor’s degree from Peking University in 2010. His current research interests include High-dimensional Statistical Inference, Tensor Data Analysis, and Statistical Learning Theory.
