Ming Yuan

38 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-4415-8606

Department of Statistics, Columbia University

Publications

Mode-wise principal subspace pursuit and matrix spiked covariance model — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
Large-dimensional independent component analysis: Statistical optimality and computational tractability — The Annals of Statistics 2025
Higher-Order Least Squares: Assessing Partial Goodness of Fit of Linear Causal Models — Journal of the American Statistical Association 2024
Comments on “Factor Models for High-Dimensional Tensor Time Series” — Journal of the American Statistical Association 2022
Statistical inferences of linear forms for noisy matrix completion — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
Editorial: Memorial issue for Charles Stein — The Annals of Statistics 2021
Statistically optimal and computationally efficient low rank tensor completion from noisy entries — The Annals of Statistics 2021
Efficient multivariate entropy estimation via $k$-nearest neighbour distances — The Annals of Statistics 2019
Convex regularization for high-dimensional multiresponse tensor regression — The Annals of Statistics 2019
Combined Hypothesis Testing on Graphs With Applications to Gene Set Enrichment Analysis — Journal of the American Statistical Association 2019
Global testing against sparse alternatives under Ising models — The Annals of Statistics 2018
Optimal large-scale quantum state tomography with Pauli measurements — The Annals of Statistics 2016
Distance shrinkage and Euclidean embedding via regularized kernel estimation — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
Comment — Journal of the American Statistical Association 2016
Minimax optimal rates of estimation in high dimensional additive models — The Annals of Statistics 2016
Minimax and Adaptive Estimation of Covariance Operator for Random Variables Observed on a Lattice Graph — Journal of the American Statistical Association 2016
Doubly robust learning for estimating individualized treatment with censored data — Biometrika 2015
Risk Classification With an Adaptive Naive Bayes Kernel Machine Model — Journal of the American Statistical Association 2015
A direct approach to sparse discriminant analysis in ultra-high dimensions — Biometrika 2012
High-dimensional semiparametric Gaussian copula graphical models — The Annals of Statistics 2012
Minimax and Adaptive Prediction for Functional Linear Regression — Journal of the American Statistical Association 2012
Adaptive covariance matrix estimation through block thresholding — The Annals of Statistics 2012
Independent component analysis via nonparametric maximum likelihood estimation — The Annals of Statistics 2012
Optimal estimation of the mean function based on discretely sampled functional data: Phase transition — The Annals of Statistics 2011
Sparsity in multiple kernel learning — The Annals of Statistics 2010
A reproducing kernel Hilbert space approach to functional linear regression — The Annals of Statistics 2010
Efficient Global Approximation of Generalized Nonlinear ℓ1-Regularized Solution Paths and Its Applications — Journal of the American Statistical Association 2009
Structured variable selection and estimation — The Annals of Applied Statistics 2009
Composite quantile regression and the oracle model selection theory — The Annals of Statistics 2008
Dimension reduction and coefficient estimation in multivariate linear regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2007
On the non-negative garrotte estimator — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 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 — The Annals of Applied Statistics 2007
Model selection and estimation in the Gaussian graphical model — Biometrika 2007
Rejoinder — Journal of the American Statistical Association 2006
Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions — Journal of the American Statistical Association 2006
Model selection and estimation in regression with grouped variables — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2006
Efficient Empirical Bayes Variable Selection and Estimation in Linear Models — Journal of the American Statistical Association 2005
Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models — Journal of the American Statistical Association