The Department of Statistics is celebrating research achievements by our current and recently graduated students in terms of publications from approximately the last one and a half years.  In the third edition, we are highlighting recent publications by 6 of our students.  

The papers in this collection have all appeared in 2025 or late 2024. The students whose papers are being featured are Yi Tang Chen, Ye Jin Choi, Meijia Shao, Rui Zhang, Md Haque, and Jing Peng.  Congratulations to all of them!

Assessment of Glioblastoma Multiforme Tumor Heterogeneity via MRI-Derived Shape and Intensity Features

Yi Tang Chen, Sebastian Kurtek

Data Science in Science

Hybrid Distance for Classification of Complex Biological Data Based on Elastic Shape Analysis of Curves and Topological Data Analysis of Point Clouds

Ye Jin Choi, Karthik Bharath, Sebastian Kurtek

Springer Book on Big Data Analysis (Book chapter)

U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off

Meijia Shao, Dong Xia and Yuan Zhang

Journal of the American Statistical Association, In press, 2025+

Dimension-Reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems

Rui Zhang, Oksana Chkrebtii, Dongbin Xiu

Journal of Machine Learning for Modeling and Computing

Implications of Gene Tree Heterogeneity on Downstream Phylogenetic Analyses: a Case Study Employing the Fair Proportion Index

Wicke, K., Haque, Md R., L. Kubatko.

PLOS ONE 19(4): e0300900.
 

A Likelihood Ratio Test for Hybridization Under the Multispecies Coalescent

Peng, J., S. Kong, and L. Kubatko.

Bulletin of the Society of Systematic Biologists 3(2)