معرفی
Xiaoyan Iris Lin is an Associate Professor in the Department of Statistics at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. She joined the university in 2008 after earning her Ph.D. in Statistics from the University of Missouri-Columbia.
Her research focuses on Bayesian statistical methodologies with applications in survival analysis, medical diagnostic accuracy, and ROC analysis. Key interests include developing advanced techniques for censored and ordinal data, such as latent graphical models for ordinal variable dependencies, neural networks for ordinal classification, and Bayesian Additive Regression Trees (BART) for survival data analysis.
Dr. Lin's work challenges conventional approaches in statistical modeling, emphasizing innovative applications in healthcare and medical diagnostics. Her office is located in LeConte 209B, and further details can be found on her website or via her curriculum vitae.
