Ming Yuan, Ph.D.
Affiliations: | 2004 | University of Wisconsin, Madison, Madison, WI |
Area:
StatisticsGoogle:
"Ming Yuan"Parents
Sign in to add mentorGrace Wahba | grad student | 2004 | UW Madison | |
(Automatic smoothing and variable selection via regularization.) |
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Publications
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Wang S, Chacko JV, Sagar AK, et al. (2019) Nonparametric empirical Bayesian framework for fluorescence-lifetime imaging microscopy. Biomedical Optics Express. 10: 5497-5517 |
Yuan M, Zhou D. (2016) Minimax optimal rates of estimation in high dimensional additive models Annals of Statistics. 44: 2564-2593 |
Zhang L, Wahba G, Yuan M. (2016) Distance shrinkage and Euclidean embedding via regularized kernel estimation Journal of the Royal Statistical Society. Series B: Statistical Methodology |
Chen J, Yuan M. (2016) Efficient Portfolio Selection in a Large Market Journal of Financial Econometrics. 14: 496-524 |
Cai TT, Yuan M. (2016) Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph Journal of the American Statistical Association. 111: 253-265 |
Yuan M. (2016) Degrees of freedom in low rank matrix estimation Science China-Mathematics. 59: 2485-2502 |
Huang H, Liu Y, Yuan M, et al. (2015) Statistical Significance of Clustering using Soft Thresholding. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 24: 975-993 |
Minnier J, Yuan M, Liu JS, et al. (2015) Risk Classification with an Adaptive Naive Bayes Kernel Machine Model. Journal of the American Statistical Association. 110: 393-404 |
Zhao YQ, Zeng D, Laber EB, et al. (2015) Doubly Robust Learning for Estimating Individualized Treatment with Censored Data. Biometrika. 102: 151-168 |
Fang Y, Feng Y, Yuan M. (2014) Regularized principal components of heritability Computational Statistics. 29: 455-465 |