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Jianxin Yin
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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
1972011
Model selection and estimation in the matrix normal graphical model
J Yin, H Li
Journal of multivariate analysis 107, 119-140, 2012
1002012
Nonparametric covariance model
J Yin, Z Geng, R Li, H Wang
Statistica Sinica 20, 469, 2010
752010
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
432013
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
372008
Different protein-protein interface patterns predicted by different machine learning methods
W Wang, Y Yang, J Yin, X Gong
Scientific Reports 7 (1), 16023, 2017
222017
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
192014
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
82018
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
62010
A minimax optimal approach to high-dimensional double sparse linear regression
Y Zhang, Z Li, J Yin
arXiv preprint arXiv:2305.04182, 2023
22023
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra
J Yin, Z Shi, B Li, F Sun, T Miao, Z Shi, S Chen, M Yang, W Ji
Remote Sensing 15 (8), 2053, 2023
12023
Minimax Rates for High-dimensional Double Sparse Structure over ℓq-balls
Z Li, Y Zhang, J Yin
arXiv preprint arXiv:2207.11888, 2022
12022
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
Learning conditional dependence graph for concepts via matrix normal graphical model
J Lai, J Yin
Statistics and Its Interface 17 (2), 187-198, 2024
2024
Sharp minimax optimality of LASSO and SLOPE under double sparsity assumption
Z Li, Y Zhang, J Yin
arXiv preprint arXiv:2308.09548, 2023
2023
Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy
Z Shi, J Yin, B Li, F Sun, T Miao, Y Cao, Z Shi, S Chen, B Hu, W Ji
Sensors 23 (13), 5967, 2023
2023
Covariate‐adaptive randomization with variable selection in clinical trials
H Zhang, F Hu, J Yin
Stat 11 (1), e461, 2022
2022
Minimax Rates for High-dimensional Double Sparse Structure over -balls
Z Li, Y Zhang, J Yin
arXiv preprint arXiv:2207.11888, 2022
2022
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression
Y Lin, W Zhou, Z Geng, G Xiao, J Yin
arXiv preprint arXiv:2202.08441, 2022
2022
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Articles 1–20