Jun 19, 2024 · My research interests lie in the broad areas of high-dimensional statistics and statistical machine learning, with particular emphasis on compositional data analysis and...

Wei Lin. Associate Professor of Statistics, Peking University. Verified email at math.pku.edu.cn - Homepage. High-dimensional statistics Statistical machine learning Compositional data analysis. ... F Healy, W Lin, R Feng, BD Hanna, H Hedrick, HB …

Researches nonlinear control, time-delay systems, adaptive control, stochastic stability/control with applications to renewable energy, power systems and smart grid. 2002-2003 Guest Editor, Special Issue on ``New Directions in Nonlinear Control,'' IEEE Trans. Automat. Contr.

Wei Lin Wei Lin. College of Arts and Sciences. A&S News and Events. Associate Professor Morton 315D, Athens Campus Mathematics. [email protected]. 740-593-1270. Education. Ph.D., Clemson University. Research Interests. Regression analysis; Nonparametric statistics; Dimension reduction and multivariate analysis; Explore.

Wei Lin Curriculum Vitae (June 2024) 346 Zhihua Building Phone: +86 10 6275 1802 5 Yiheyuan Road Fax: +86 10 6275 1801 Peking University Email: [email protected] Beijing 100871, China...

Wei Lin, Ph. Pure rotational and vibration-rotation-tunneling spectra of environmentally important species, including neutral clusters, charged clusters, and radicals. Microwave dielectric …

Apr 15, 2025 · Lin, W., Feng, R. and Li, H. (2015). Regularization methods for high-dimensional instrumental variables regression with an application to genetical genomics . Journal of the American Statistical...

I am an Assistant Professor of Economics at the Chinese University of Hong Kong, Shenzhen. I received my PhD from UC Berkeley in 2022. My research interests include learning...

Wei Lin. Professor of Applied Mathematics, Fudan University. Verified email at sh163.net ... P Ji, J Ye, Y Mu, W Lin, Y Tian, C Hens, M Perc, Y Tang, J Sun, J Kurths. Physics reports 1017, 1-96, 2023. 207: 2023: Predicting tipping points in mutualistic networks through dimension reduction.