Yaming Yu is an associate professor in the Department of Statistics at UC Irvine. He received his Ph.D. from the Department of Statistics at Harvard University and his B.S. in Mathematics from Beijing University. Yu’s research interests include (a) Bayesian modeling, e.g., as applied to astrophysical data obtained by today’s high resolution telescopes; (b) missing data problems, e.g., multiple imputation of public-use databases by iteratively fitting conditional models based on monotone missing data patterns; (c) statistical computing, e.g., numerical analysis tools to accelerate the EM algorithm, and efficient data augmentation schemes to speed up Markov chain Monte Carlo simulations.
Ph.D., Harvard University, 2005