Ling Xu

Ling Xu is a Professor of Statistics at James Madison University (JMU), where he has been since 2005. He is affiliated with the Department of Mathematics & Statistics. His research focuses on linear models, computational statistics, Bayesian inference, and statistics education.

Education includes a PhD in Statistics (2005) and MS in Statistics (2003) from the University of New Mexico, and a BS in Surveying Engineering (1984) from Wuhan Technical University of Surveying and Mapping.

His research spans statistical methodologies with applications in ecology and agriculture. Recent publications address variance-mean mixtures, modality in body mass distributions, and hypothesis testing in mixture models.

No awards or grants are explicitly listed. His advising and teaching contributions are central to his role, though specific students/grants are not documented here. His academic website is available at https://educ.jmu.edu/~xulx.