Selected Publications on High-dimensional Data Analysis
Editor's invited review paper:
- Jin, J. and Ke, Z. (2016).
Rare and Weak Effects in Large-scale Inference: Methods and Phase Diagrams. (website, pdf)
Editor's Invited Review, Statistica Sinica, 26(1), 1-34.
- Ke, Z., Jin, J. and Fan, J. (2014).
Covariate Assisted Screening and Estimation. (website, pdf, supplement)
Annals of Statistics, 42(6): 2202-2242.
- Ke, Z. (2016).
Detecting Rare and Weak Spikes in Large Covariance Matrices. (arXiv, pdf) - Jin, J., Ke, Z. and Wang, W. (2017).
Phase Transitions for High-dimensional Clustering and Related Problems. (website, pdf, supplement)
Annals of Statistics, 45(5), 2151-2189.
- Ke, Z. and Wang, L. (2022).
A Comparison of Hamming Errors of Representative Variable Selection Methods. (website, arXiv, pdf)
10th International Conference on Learning Representations (ICLR 2022).
- Ke, Z., Liu, J. and Ma, Y. (2024).
Power of Knockoff: The Impact of Ranking Algorithm, Augmented Design, and Symmetric Statistic. (website, pdf)
Journal of Machine Learning Research, 25(3), 1-67.
Method and theory:
- Ke, Z., Fan, J. and Wu, Y. (2015).
Homogeneity Pursuit. (website, pdf, supplement)
Journal of the American Statistical Association, 110(509):175-194.
- Fan, J., Ke, Z., Liu, H. and Xia, L. (2015).
QUADRO: A Supervised Dimension Reduction Method via Rayleigh Quotient Optimization. (website, pdf, supplement)
Annals of Statistics, 43(4), 1493-1534.
- Ke, Z., Xue, L. and Yang, F. (2019).
Diagonally Dominant Principal Component Analysis. (website, pdf, code)
Journal of Computational and Graphical Statistics, 29(3): 592-607.