Dan Yang
Statistics and Probability · with Buja · 2014–2018
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 19 citations into it; #10,749 of 12,932 by trust here, #10,855 by citations
- Artificial Intelligence — 6 citations into it
- Computational Mechanics — 6 citations into it
- Finance — 6 citations into it
- Signal Processing — 5 citations into it; #6,225 of 7,572 by trust here, #7,112 by citations
Whom Dan Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Debashis Paul
- Zongming Ma
- Jianqing Fan
- Iain M. Johnstone
- Daniela M. Witten
- Jinho Baik
- Robert Tibshirani
- Peter J. Bickel
- Yufeng Liu
- Trevor J. Hastie
Who trusts Dan Yang overall
Papers from Dan Yang's perspective
Ordered by how strongly the researchers Dan Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Regression Shrinkage and Selection via the Lasso
- Sparse Principal Component Analysis
- ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL
- Eigenvalues of large sample covariance matrices of spiked population models
- Sparse principal component analysis via regularized low rank matrix approximation
- A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. (Biostatistics)
- Estimating the Dimension of a Model
- On Consistency and Sparsity for Principal Components Analysis in High Dimensions (Journal of the American Statistical Association)
- Sparse Principal Component Analysis and Iterative Thresholding
Their papers
- Autoregressive models for matrix-valued time series (2018) — 144 citations
- A Sparse Singular Value Decomposition Method for High-Dimensional Data (2014) — 43 citations