Selected Publications
Selected Publications
Technical Reports
•Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph (2012; with T.T. Cai).
•Radial Basis Function Regularization for Linear Inverse Problems with Random Noise (2011; with C. Valencia), to appear in Journal of Multivariate Analysis.
•Nonparametric Covariance Function Estimation for Functional and Longitudinal Data (2010; with T.T. Cai).
2012
•Independent Component Analysis via Nonparametric Maximum Likelihood Estimation (with R.J. Samworth), The Annals of Statistics, 40(6), 2973-3002.
•Adaptive Covariance Matrix Estimation Through Block Thresholding (with T.T. Cai), The Annals of Statistics, 40(4), 2014-2042.
•High Dimensional Semiparametric Gaussian Copula Graphical Models (with H. Liu, F. Han, J. Lafferty, and L. Wasserman), The Annals of Statistics, 40(4), 2293-2326.
•Comments on ``Latent Variable Graphical Model Selection via Convex Optimization'', The Annals of Statistics, 40(4), 1968-1972.
•Minimax and Adaptive Prediction for Functional Linear Regression (with T.T. Cai), Journal of the American Statistical Association, 107(499), 1201-1216.
•Comments on "Minimax Estimation of Large Covariance Matrices under l1 Norm", Statistica Sinica, 22(4), 1373-1375.
•A Direct Approach to Sparse Discriminant Analysis in Ultra-high Dimensions (with Q. Mai and H. Zou), Biometrika, 99(1), 29-42.
•Signal Inhibition by the Dual-Specific Phosphatase 4 Impairs T Cell-Dependent B Cell Responses with Age (with M. Yu, G. Li, W. Lee, D. Cui C. Weyand, and J. Goronzy), Proceedings of the National Academy of Sciences, 109(15), 5561-5563.
•Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression (with Z. Lu and R. Monteiro), Mathematical Programming, 131, 163-194.
2011
•An Empirical Bayes Approach to Joint Analysis of Multiple Microarray Gene Expression Studies (with L. Ruan), Biometrics, 67(4), 1617-1626.
•l1 Regularized Support Vector Machines with a Reject Option (with M. Wegkamp), Bernoulli, 17(4), 1368-1385.
•Reinforced Multicategory Support Vector Machines (with Y. Liu), Journal of Computational and Graphical Statistics, 20(4), 901-919.
•Optimal Estimation of the Mean Function Based on Discretely Sampled Functional Data: Phase Transition (with T.T. Cai), The Annals of Statistics, 39(5), 2330-2355.
•Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models (with L. Ruan and H. Zou), Neural Computation, 23(6), 1605-1622.
•On the Identifiability of Additive Index Models, Statistica Sinica, 21, 1901-1911.
•A Bayesian Method for Calibrating Computer Models to Test Data (with Y. Lee, D. Mavris and V. Volovoi), Inverse Problems in Science and Engineering, 19(3), 395-408.
2010
•Sparsity in Multiple Kernel Learning (with V. Koltchinskii), The Annals of Statistics, 38(6), 3660-3695.
•A Reproducing Kernel Hilbert Space Approach to Functional Linear Regression (with T.T. Cai), The Annals of Statistics, 38(6), 3412-3444.
•Dimension Reduction and Parameter Estimation for Additive Index Models (with L. Ruan), Statistics and Its Interface, 3, 493-499.
•Sparse Inverse Covariance Matrix Estimation via Linear Programming, Journal of Machine Learning Research, 11, 2261-2286.
•Classification Methods with Reject Option Based on Convex Risk Minimization (with M. Wegkamp), Journal of Machine Learning Research, 11, 111-130.
•Statistical Methods for Fighting Financial Crimes (with A. Sudjianto, S. Nair, A. Zhang, and D. Kern), Technometrics, 52, 5-19.
•A Fault Diagnosis Method for Industrial Gas Turbines Using Bayesian Data Analysis (with Y. Lee, D. Mavris, V. Volovoi and T. Fisher), ASME Journal of Engineering for Gas Turbines and Power, 132(4), 041602.
2009
•Structured Variable Selection and Estimation (with R. Joseph and H. Zou), The Annals of Applied Statistics, 3(4), 1738-1757.
•Efficient Global Approximation of Generalized Nonlinear l1 Regularized Solution Paths and Its Applications (with H. Zou), Journal of the American Statistical Association, 104, 1562-1574.
•State Price Density Estimation via Nonparametric Mixtures, The Annals of Applied Statistics, 3, 963-984.
•Large Gaussian Covariance Matrix Estimation with Markov Structures (with X. Deng), Journal of Computational and Graphical Statistics, 18, 640-657.
•Regularized Parameter Estimation of High Dimensional t Distribution (with J. Huang), Journal of Statistical Planning and Inferences, 139, 2284-2292.
2008
•Sparse Recovery in Large Ensembles of Kernel Machines (with V. Koltchinskii), COLT 2008, 229-238.
•Efficient Computation of the l1 Regularized Solution Path in Gaussian Graphical Models, Journal of Computational and Graphical Statistics, 17, 809-826.
•Composite Quantile Regression and The Oracle Model Selection Theory (with H. Zou), The Annals of Statistics., 36, 1108-1126
•Structured Variable Selection in Support Vector Machines (with S. Wu and H. Zou), Electronic Journal of Statistics, 2, 103-117.
•Regularized Simultaneous Model Selection in Multiple Quantiles Regression (with H. Zou), Computational Statistics and Data Analysis, 52, 5296-5304.
•The Finf-norm Support Vector Machine, Statistica Sinica (with H. Zou), 18(1), 379-398.
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 (with H. Wu, S. Kaech and M. Halloran), The Annals of Applied Statistics, 1(2), 442-458.
•An Efficient Variable Selection Approach for Analyzing Designed Experiments (with R. Joseph and Y. Lin), Technometrics, 49(4), 430-439.
•Approximate Test Risk Bound Minimization through Soft Margin Estimation (with J. Li and C. Lee), IEEE Transaction on Acoustics, Speech, and Signal Processing, 15(8), 2393-2404.
•Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression (with A. Ekici, Z. Lu and R. Monteiro), Journal of the Royal Statistical Society, Series B, 69(3), 329-346.
•Gene Expression Profiling of Aging Reveals Activation of a p53-Mediated Transcriptional Program (with M. Edwards, R. Anderson, C. Kendziorski, R. Weindruch and T. PRolla), BMC Genomics, 8:80.
•On the Nonnegative Garrote Estimator (with Y. Lin), Journal of the Royal Statistical Society, Series B, 69(2), 143-161.
•Model Selection and Estimation in the Gaussian Graphical Model (with Y. Lin), Biometrika, 94(1), 19-35.
•Nonnegative Garrote Component Selection in Functional ANOVA Models, AISTAT 2007, 660-666.
2006
•Hidden Markov Models for Microarray Time Course Data under Multiple Biological Conditions (with C. Kendziorski), Journal of the American Statistical Association, 101(476), 1323-1340.
•A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification (with C. Kendziorski), Biometrics, 62(4), 1089-1098.
•Flexible Temporal Expression Profile Modeling Using the Gaussian Process, Computational Statistics and Data Analysis, 51(3), 1754-1764.
•Convergence Rates of Compactly Supported Radial Basis Function Regularization (with Y. Lin), Statistica Sinica, 16(2), 425-439.
•Statistical Methods for Expression Trait Loci (eQTL) Mapping (with C. Kendziorski, M. Chen, H. Lan and A. Attie), Biometrics, 62(1), 19-27.
•GACV for Quantile Smoothing Splines, Computational Statistics and Data Analysis, 50(3), 813-829.
•Model Selection and Estimation in Regression with Grouped Variables (with Y. Lin), Journal of the Royal Statistical Society, Series B, 68(1), 49-67.
2005
•Efficient Empirical Bayes Variable Selection and Estimation in Linear Models (with Y. Lin), Journal of the American Statistical Association, 100(472), 1215-1225.
•Automatic Smoothing for Poisson Regression, Communications in Statistics -- Theory and Methods, 34, 603-617.
•Semi-parametric Censorship Model with Covariates, Test, 14(2), 489-514.
2004 and earlier
•Doubly Penalized Likelihood Estimator in Heteroscedastic Regression (2004; with G. Wahba), Statistics and Probability Letters, 69(1), 11-20.
•De-convolving Multivariate Density From Random Field (2003), Statistical Inference for Stochastic Processes, 6(2), 135-153.
•A Central Limit Theorem for the Negatively Associated Random Field (2003; with C. Su and T. Hu), Journal of Theoretical Probability, 16(2), 309-323.
•De-convolving Multidimensional Density from Partially Contaminated Observations (2002; with J. Chen), Journal of Statistical Planning and Inference, 104(1), 147-160.