Xinyi Xu

Associate Professor; Ph.D., University of Pennsylvania, 2005.
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My research has been focused on Bayesian forecasting and decision theory. My dissertation established a general theory for minimax and admissible predictive densities for the multivariate normal model under Kullback-Leibler loss, and revealed some interesting connections between the point estimation and density forecasting problems. It has laid the foundations for the development of new predictive methods for a wide variety of problems that I will keep pursuing. I am also interested in general Bayesian modeling and information theory with various applications.