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Jun Shao is a professor in the Department of Statistics at the University of Wisconsin–Madison. His research primarily focuses on inference, asymptotic theory, resampling methods, linear and nonlinear models, model selection, and sample surveys. Over the years, Professor Shao has contributed to the advancement of statistical methodologies, ensuring a balance between theoretical foundations and practical applications. He is dedicated to enhancing the understanding of complex statistical models, thereby facilitating insights into data-driven decision-making across various fields. As an educator, he emphasizes the importance of sound statistical practices and encourages students to develop critical thinking skills in data analysis. His academic work includes a variety of publications that reflect his expertise in statistical inference and methodologies. Shao is committed to furthering research collaborations and enhancing statistical education.
Department: Department of Computer Sciences