Ming Yuan - Concepedia

Author

Ming Yuan

Also Known As

Fernando Cela-Díaz, Liu, Yufeng, M. YUAN, M. Yuan, M.Z. Yuan, Ming YUAN, Ming Yuan, Mingsong Yuan, Muzhi Yuan, Yuan Ming

344

Publications

17.6K

Citations

H-Index

203

Concepts

All Affiliations

Georgia Institute of Technology University of Wisconsin–Madison Columbia University University of Pennsylvania Morgridge Institute for Research

About

Ming Yuan is an author at Georgia Institute of Technology specializing in engineering, statistics, and statistical inference.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	35	66	13.7K
2	Medicine	13	14	790
3	Business	4	4	501
4	Natural Sciences	3	3	330
5	Management	2	2	132

Ming Yuan

108

Publications

16.9K

Citations

H-Index

Page 1

	Year	Citations
Model Selection and Estimation in Regression with Grouped Variables Ming Yuan, Yi Lin Journal of the Royal Statistical Society Series B (Statistical Methodology) Low-rank ApproximationParameter EstimationEngineeringGrouped VariablesData Science	2005	7.3K
Model selection and estimation in the Gaussian graphical model Ming Yuan, Yi Lin Biometrika Mathematical ProgrammingEstimation TheoryPenalized Likelihood MethodsEngineeringHigh-dimensional Method	2007	1.7K
Composite quantile regression and the oracle model selection theory Hui Zou, Ming Yuan The Annals of Statistics	2008	594
High-dimensional semiparametric Gaussian copula graphical models Han Liu, Fang Han, Ming Yuan, The Annals of Statistics Semiparametric ApproachGraph SparsityEngineeringR PackageData Science	2012	520
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming Ming Yuan Journal of Machine Learning Research Sparse RepresentationEngineeringHigh-dimensional MethodData ScienceRegularization (Mathematics)	2010	350
Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression Ming Yuan, Ali Ekici, Zhaosong Lu, Journal of the Royal Statistical Society Series B (Statistical Methodology) Econometric ModelParameter EstimationGeneral FormulationEngineeringHigh-dimensional Method	2007	322
A reproducing kernel Hilbert space approach to functional linear regression Ming Yuan, Tommaso Cai The Annals of Statistics EngineeringData ScienceApproximation TheoryRegularization (Mathematics)Reproducing Kernel Method	2010	281
On the Non-Negative Garrotte Estimator Ming Yuan, Yi Lin Journal of the Royal Statistical Society Series B (Statistical Methodology) Initial EstimatorsParameter EstimationEngineeringHigh-dimensional MethodData Science	2007	269
CARM1 Methylates Chromatin Remodeling Factor BAF155 to Enhance Tumor Progression and Metastasis Lu Wang, Zibo Zhao, Mark B. Meyer, Cancer Cell Tumor BiologyChromatinOncologyChromatin StructureMedicine	2014	251
On Tensor Completion via Nuclear Norm Minimization Ming Yuan, Cun‐Hui Zhang Foundations of Computational Mathematics Matrix FactorizationMultilinear Subspace LearningNuclear Norm MinimizationFunctional AnalysisLow-rank Approximation	2015	240

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