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Ming Yuan -- Publications

(Research suppored in part by NSF grants DMS-MPSA-0624841, DMS-0706724, DMS-0846234, and a grant from Georgia Cancer Coalition)

Cai, T. and Yuan, M. (2010), Optimal Estimation of the Mean Function Based on Discretely Sampled Functional Data: Phase Transition.
Wegkamp, M. and Yuan, M. (2009), l1 Regularized Support Vector Machines with a Reject Option.
Yuan, M. (2009), Sparse Inverse Covariance Matrix Estimation via Linear Programming.
Yuan, M. and Wegkamp, M. (2009), Classification Methods with Reject Option Based on Convex Risk Minimization, to appear in Journal of Machine Learning Research.
Yuan, M. and Cai, T.T. (2008), A Reproducing Kernel Hilbert Space Approach to Functional Linear Regression, to appear in Annals of Statistics.

Yuan, M., Joseph, R. and Zou, H. (2009), Structured Variable Selection and Estimation, Annals of Applied Statistics, 4.
Yuan, M. and Zou, H. (2009), Efficient Global Approximation of Generalized Nonlinear l1 Regularized Solution Paths and Its Applications, Journal of the American Statistical Association, 104, 1562-1574.
Yuan, M. (2009), State Price Density Estimation via Nonparametric Mixtures, Annals of Applied Statistics, 3, 963-984.
Deng, X. and Yuan, M. (2009), Large Gaussian Covariance Matrix Estimation with Markov Structures, Journal of Computational and Graphical Statistics, 18, 640-657.
Yuan, M. and Huang, J. (2009), Regularized Parameter Estimation of High Dimensional t Distribution, Journal of Statistical Planning and Inferences, 139, 2284-2292.

Koltchinskii, V. and Yuan, M., Sparse Recovery in Large Ensembles of Kernel Machines, COLT 2008, 229-238.
Yuan, M. (2008), Efficient Computation of the l1 Regularized Solution Path in Gaussian Graphical Models, Journal of Computational and Graphical Statistics, 17, 809-826.
Zou, H. and Yuan, M. (2008), Composite Quantile Regression and The Oracle Model Selection Theory, Annals of Statistics., 36, 1108-1126
Wu, S., Zou, H. and Yuan, M. (2008), Structured Variable Selection in Support Vector Machines, Electronic Journal of Statistics, 2, 103-117.
Zou, H. and Yuan, M. (2008), Regularized Simultaneous Model Selection in Multiple Quantiles Regression, Computational Statistics and Data Analysis, 52, 5296-5304.
Zou, H. and Yuan, M. (2008), The Finf-norm Support Vector Machine, Statistica Sinica, 18(1), 379-398.

Wu, H., Yuan, M., Kaech, S. and Halloran, M. (2007), A Statistical Analysis of Memory CD8 T Cell Differentiation: An Application of a Hierarchical State Space Model to a Short Time Course Microarray Experiment, Annals of Applied Statistics, 1(2), 442-458.
Yuan, M., Joseph, R. and Lin, Y. (2007), An Efficient Variable Selection Approach for Analyzing Designed Experiments, Technometrics, 49(4), 430-439.
Li, J., Yuan, M. and Lee, C. (2007), Approximate Test Risk Bound Minimization through Soft Margin Estimation, IEEE Transaction on Acoustics, Speech, and Signal Processing, 15(8), 2393-2404.
Yuan, M., Ekici, A., Lu, Z. and Monteiro, R. (2007), Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression, Journal of the Royal Statistical Society, Series B, 69(3), 329-346.
Edwards, M., Anderson, R., Yuan, M., Kendziorski, C., Weindruch, R. and Prolla, T. (2007), Gene Expression Profiling of Aging Reveals Activation of a p53-Mediated Transcriptional Program, BMC Genomics, 8:80.
Yuan, M. and Lin, Y. (2007), On the Nonnegative Garrote Estimator, Journal of the Royal Statistical Society, Series B, 69(2), 143-161.
Yuan, M. and Lin, Y. (2007), Model Selection and Estimation in the Gaussian Graphical Model, Biometrika, 94(1), 19-35.

Yuan, M. and Kendziorski, C. (2006), Hidden Markov Models for Microarray Time Course Data under Multiple Biological Conditions (with discussion), Journal of the American Statistical Association, 101(476), 1323-1340.
Yuan, M. and Kendziorski, C. (2006), A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification, Biometrics, 62(4), 1089-1098.
Yuan, M. (2006), Flexible Temporal Expression Profile Modeling Using the Gaussian Process, Computational Statistics and Data Analysis, 51(3), 1754-1764.
Lin, Y. and Yuan, M. (2006), Convergence Rates of Compactly Supported Radial Basis Function Regularization, Statistica Sinica, 16(2), 425-439.
Kendziorski, C., Chen, M., Yuan, M., Lan, H. and Attie, A. (2006), Statistical Methods for Expression Trait Loci (eQTL) Mapping, Biometrics, 62(1), 19-27.
Yuan, M. (2006), GACV for Quantile Smoothing Splines, Computational Statistics and Data Analysis, 50(3), 813-829.
Yuan, M. and Lin, Y. (2006), Model Selection and Estimation in Regression with Grouped Variables, Journal of the Royal Statistical Society, Series B, 68(1), 49-67.

Yuan, M. and Lin, Y. (2005), Efficient Empirical Bayes Variable Selection and Estimation in Linear Models, Journal of the American Statistical Association, 100(472), 1215-1225.
Yuan, M. (2005), Automatic Smoothing for Poisson Regression, Communications in Statistics -- Theory and Methods, 34, 603-617.
Yuan, M. (2005), Semi-parametric Censorship Model with Covariates, Test, 14(2), 489-514.

Yuan, M. and Wahba, G. (2004), Doubly Penalized Likelihood Estimator in Heteroscedastic Regression, Statistics and Probability Letters, 69(1), 11-20.
Yuan, M. (2003), De-convolving Multivariate Density From Random Field, Statistical Inference for Stochastic Processes, 6(2), 135-153.
Yuan, M., Su, C. and Hu, T. (2003), A Central Limit Theorem for the Negatively Associated Random Field, Journal of Theoretical Probability, 16(2), 309-323.
Yuan, M. and Chen, J. (2002), De-convolving Multidimensional Density from Partially Contaminated Observations, Journal of Statistical Planning and Inference, 104(1), 147-160.