معرفی
Shan Huang is a Professor in the Department of Statistics at the University of South Carolina, College of Arts and Sciences. His research focuses on measurement error modeling, latent variables, and nonparametric statistics, with a particular emphasis on methodologies for non-Gaussian data and robust inference.
Research Interests include:
- Developing inferential methods for data with measurement errors
- Model misspecification and diagnostic techniques
- Nonparametric approaches for mean, mode, and density estimation
- Analysis of heavy-tailed, directional, and compositional data
Recent Publications highlight advancements in Bayesian networks, modal regression with mixture distributions, and directional data modeling. His work addresses challenges in group testing data, coarsened data, and error-prone nodes.
Teaching includes courses such as Advanced Statistical Inference, Latent Variable Models, and Nonlinear Statistical Models. His students have contributed to multiple publications marked with asterisks.
