Jianxin Yin
Title
Cited by
Cited by
Year
A sparse conditional Gaussian graphical model for analysis of genetical genomics data
J Yin, H Li
The annals of applied statistics 5 (4), 2630, 2011
1532011
Model selection and estimation in the matrix normal graphical model
J Yin, H Li
Journal of multivariate analysis 107, 119-140, 2012
792012
Nonparametric covariance model
J Yin, Z Geng, R Li, H Wang
Statistica Sinica 20, 469, 2010
572010
Adjusting for high-dimensional covariates in sparse precision matrix estimation by ℓ1-penalization
J Yin, H Li
Journal of multivariate analysis 116, 365-381, 2013
312013
Partial orientation and local structural learning of causal networks for prediction
J Yin, Y Zhou, C Wang, P He, C Zheng, Z Geng
Causation and Prediction Challenge, 93-105, 2008
232008
Different protein-protein interface patterns predicted by different machine learning methods
W Wang, Y Yang, J Yin, X Gong
Scientific reports 7 (1), 1-13, 2017
132017
Graphical model selection and estimation for high dimensional tensor data
S He, J Yin, H Li, X Wang
Journal of Multivariate Analysis 128, 165-185, 2014
132014
Geometric and amino acid type determinants for protein-protein interaction interfaces
Y Yang, W Wang, Y Lou, J Yin, X Gong
Quantitative Biology 6 (2), 163-174, 2018
22018
Discover local causal network around a target to a given depth
Y Zhou, C Wang, J Yin, Z Geng
Causality: Objectives and Assessment, 191-202, 2010
22010
Sparse Sufficient Dimension Reduction for Markov Blanket Discovery
X Li, J Yin
Communications in Statistics-Simulation and Computation 45 (4), 1355-1364, 2016
12016
Iterative stepwise selection and threshold for learning causes in time series
J Yin, S Wang, W Deng, Y Hu, Z Geng
Causality: Objectives and Assessment Challenges in Machine Learning, Volume …, 2008
12008
Structure Analysis of High Dimensional Tensor Data
S He, J Yin
SUPPLEMENTAL MATERIALS FOR “A SPARSE CONDITIONAL GAUSSIAN GRAPHICAL MODEL FOR ANALYSIS OF GENETICAL GENOMICS DATA”
J Yin, H Li
arXiv preprint math.PR/0000000, 0
Pot-luck challenge: FACT SHEET.
Y Zhou, C Wang, J Yin, Z Geng
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Articles 1–14