Yichao Wu, Ph.D.
Affiliations: | 2006 | North Carolina State University, Raleigh, NC |
Area:
Statistics, Biostatistics Biology, FinanceWebsite:
http://www4.stat.ncsu.edu/~wu/Google:
"Yichao Wu"Parents
Sign in to add mentor| Chuanshu Ji | grad student | 2006 | UNC Chapel Hill | |
| (Probability approximations with applications in computational finance and computational biology.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Wu Y. (2020) Can’t ridge regression perform variable selection? Technometrics. 1-9 |
| Kim H, Wu Y, Shin SJ. (2019) Quantile-slicing estimation for dimension reduction in regression Journal of Statistical Planning and Inference. 198: 1-12 |
| Kong D, Bondell HD, Wu Y. (2018) Fully Efficient Robust Estimation, Outlier Detection And Variable Selection Via Penalized Regression Statistica Sinica. 28 |
| Feng Y, Wu Y, Stefanski LA. (2018) Nonparametric independence screening via favored smoothing bandwidth Journal of Statistical Planning and Inference. 197: 1-14 |
| Zhang X, Wang C, Wu Y. (2018) Functional envelope for model-free sufficient dimension reduction Journal of Multivariate Analysis. 163: 37-50 |
| Shin SJ, Wu Y, Zhang HH, et al. (2017) Principal weighted support vector machines for sufficient dimension reduction in binary classification. Biometrika. 104: 67-81 |
| Yang J, Ji C, Wu Y. (2016) Divergent Transactivation of Maize Storage Protein Zein Genes by the Transcription Factors Opaque2 and OHPs. Genetics |
| Chang J, Tang CY, Wu Y. (2016) LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD. Annals of Statistics. 44: 515-539 |
| Hu H, Wu Y, Yao W. (2016) Maximum likelihood estimation of the mixture of log-concave densities. Computational Statistics & Data Analysis. 101: 137-147 |
| Liu JJ, Liu JY, Chen J, et al. (2016) Scinderin promotes the invasion and metastasis of gastric cancer cells and predicts the outcome of patients. Cancer Letters |