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Xiang Zhou is a Professor in the Department of Statistics and Data Science. His research interests focus on Asymptotic Decision Theory, Shrinkage Estimation, Wavelet Regression, Machine Learning, Information Theory, and Bioinformatics. He is dedicated to advancing the understanding and application of statistical methods in complex data analysis, contributing significant insights through his teaching and research endeavors. Professor Zhou has developed methods that address challenges in the statistical modeling and data science fields, emphasizing the importance of robustness and efficiency in statistical inference.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.