College of Liberal Arts & Sciences
Jian Huang
Professor Emeritus
Fellow, American Statistical Association
PhD in Statistics, University of Washington, Seattle, Washington, 1994
MS in Mathematical Statistics, Wuhan University, Wuhan, China, 1987
BS in Mathematics, Wuhan University, Wuhan, China, 1985
Research Interests:
High-Dimensional Statistics
Semiparametric Inference
Statistical Genetics
Survival Analysis
Selected Publications
- Yang, Y., Shi, X., Jiao, Y., Huang, J., Chen, M., Zhou, X., Sun, L., Lin, X., Yang, C. & Liu, J. (2020). CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. Bioinformatics, 36(7), 2009-2016. DOI: 10.1093/bioinformatics/btz880.
- Yang, X., Yan, X. & Huang, J. (2019). High-dimensional integrative analysis with homogeneity and sparsity recovery. Journal of Multivariate Analysis, 174, 104529. DOI: 10.1016/j.jmva.2019.06.007.
- Shi, Y., Huang, J., Jiao, Y. & Yang, Q. (2019). A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. IEEE Transactions on Neural Networks and Learning Systems, 1-14. DOI: 10.1109/tnnls.2019.2935001.
- Chai, H., Zhang, Q., Huang, J. & Ma, S. (2019). Inference for Low-Dimensional Covariates in a High-Dimensional Accelerated Failure Time Model. Statistica Sinica. DOI: 10.5705/ss.202016.0449.
- Lv, S., Jiang, J., Zhou, F., Huang, J. & Lin, H. (2018). Estimating high-dimensional additive Cox model with time-dependent covariate processes. Scandinavian Journal of Statistics, 45(4), 900-922. DOI: 10.1111/sjos.12327.
- Lv, S., You, M., Lin, H., Lian, H. & Huang, J. (2018). On the sign consistency of the Lasso for the high-dimensional Cox model. Journal of Multivariate Analysis, 167, 79-96. DOI: 10.1016/j.jmva.2018.04.005.
- Shi, X., Huang, Y., Huang, J. & Ma, S. (2018). A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso. Computational Statistics & Data Analysis, 124, 235-251. DOI: 10.1016/j.csda.2018.03.006.
- Lv, S., Lin, H., Lian, H. & Huang, J. (2018). Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space. The Annals of Statistics, 46(2), 781-813. DOI: 10.1214/17-aos1567.
- Huang, J., Jiao, Y., Lu, X. & Zhu, L. (2018). Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares. SIAM Journal on Scientific Computing, 40(4), A2062-A2086. DOI: 10.1137/17m1154102.
- Wu, M., Zang, Y., Zhang, S., Huang, J. & Ma, S. (2017). Accommodating missingness in environmental measurements in gene-environment interaction analysis. Genetic Epidemiology, 41(6), 523-554. DOI: 10.1002/gepi.22055.