Huixia Judy Wang

Bernhardt, P. W., Wang, H. J., & Zhang, D. (2014). Flexible modeling of survival data with covariates subject to detection limits via multiple imputation. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 69, 81–91. https://doi.org/10.1016/j.csda.2013.07.027

Jiang, L., Bondell, H. D., & Wang, H. J. (2014). Interquantile shrinkage and variable selection in quantile regression. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 69, 208–219. https://doi.org/10.1016/j.csda.2013.08.006

Wang, H. J., & Li, D. (2013). Estimation of Extreme Conditional Quantiles Through Power Transformation. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 108(503), 1062–1074. https://doi.org/10.1080/01621459.2013.820134

Jiang, L., Wang, H. J., & Bondell, H. D. (2013). Interquantile Shrinkage in Regression Models. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 22(4), 970–986. https://doi.org/10.1080/10618600.2012.707454

Wang, H. J., Zhou, J. H., & Li, Y. (2013). Variable selection for censored quantile regresion. Statistica Sinica, 23(1), 145–167.

Tang, Y., Wang, H. J., & Zhu, Z. (2013). Variable selection in quantile varying coefficient models with longitudinal data. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 57(1), 435–449. https://doi.org/10.1016/j.csda.2012.07.015

Tang, Y. L., Wang, H. J., Zhu, Z. Y., & Song, X. Y. (2012). A unified variable selection approach for varying coefficient models. Statistica Sinica, 22(2), 601–628.

Tang, Y., Wang, H. J., He, X., & Zhu, Z. (2012). An informative subset-based estimator for censored quantile regression. TEST, 21(4), 635–655. https://doi.org/10.1007/s11749-011-0266-y

Wang, H. J., Stefanski, L. A., & Zhu, Z. (2012). Corrected-loss estimation for quantile regression with covariate measurement errors. BIOMETRIKA, 99(2), 405–421. https://doi.org/10.1093/biomet/ass005

Fung, W.-K., He, X., Hubert, M., Portnoy, S., & Wang, H. J. (2012, April 1). Editorial for the special issue on quantile regression and semiparametric methods. COMPUTATIONAL STATISTICS & DATA ANALYSIS, Vol. 56, pp. 753–754. https://doi.org/10.1016/j.csda.2011.12.012

Wang, H. J., Li, D., & He, X. (2012). Estimation of High Conditional Quantiles for Heavy-Tailed Distributions. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107(500), 1453–1464. https://doi.org/10.1080/01621459.2012.716382

Wang, H. J., & Feng, X. (2012). Multiple Imputation for M-Regression With Censored Covariates. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 107(497), 194–204. https://doi.org/10.1080/01621459.2011.643198

Sun, Y. Q., Wang, H. J., & Gilbert, P. B. (2012). Quantile regression for competing risks data with missing cause of failure. Statistica Sinica, 22(2), 703–728.

Pang, L., Lu, W., & Wang, H. J. (2012). Variance estimation in censored quantile regression via induced smoothing. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 56(4), 785–796. https://doi.org/10.1016/j.csda.2010.10.018

Wang, H. J., & Zhu, Z. (2011). Empirical likelihood for quantile regression models with longitudinal data. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 141(4), 1603–1615. https://doi.org/10.1016/j.jspi.2010.11.017

Wang, H. J., & Hu, J. (2011). Identification of Differential Aberrations in Multiple-Sample Array CGH Studies. BIOMETRICS, 67(2), 353–362. https://doi.org/10.1111/j.1541-0420.2010.01457.x

Ayers, C. R., Moorman, C. E., Deperno, C. S., Yelverton, F. H., & Wang, H. J. (2010). Effects of Mowing on Anthraquinone for Deterrence of Canada Geese. JOURNAL OF WILDLIFE MANAGEMENT, 74(8), 1863–1868. https://doi.org/10.2193/2009-323

Wang, H. J., & Zhou, X.-H. (2010). Estimation of the retransformed conditional mean in health care cost studies. BIOMETRIKA, 97(1), 147–158. https://doi.org/10.1093/biomet/asp072

Reich, B. J., Bondell, H. D., & Wang, H. J. (2010). Flexible Bayesian quantile regression for independent and clustered data. BIOSTATISTICS, 11(2), 337–352. https://doi.org/10.1093/biostatistics/kxp049

Bondell, H. D., Reich, B. J., & Wang, H. (2010). Noncrossing quantile regression curve estimation. BIOMETRIKA, 97(4), 825–838. https://doi.org/10.1093/biomet/asq048

Wang, H. J., & Fygenson, M. (2009). INFERENCE FOR CENSORED QUANTILE REGRESSION MODELS IN LONGITUDINAL STUDIES. ANNALS OF STATISTICS, 37(2), 756–781. https://doi.org/10.1214/07-AOS564

Wang, H. J. (2009). Inference on quantile regression for heteroscedastic mixed models. Statistica Sinica, 19(3), 1247–1261.

Thomas, R., Wang, H. J., Tsai, P.-C., Langford, C. F., Fosmire, S. P., Jubala, C. M., … Breen, M. (2009). Influence of genetic background on tumor karyotypes: Evidence for breed-associated cytogenetic aberrations in canine appendicular osteosarcoma. CHROMOSOME RESEARCH, 17(3), 365–377. https://doi.org/10.1007/s10577-009-9028-z

Wang, H. J., & Wang, L. (2009). Locally Weighted Censored Quantile Regression. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 104(487), 1117–1128. https://doi.org/10.1198/jasa.2009.tm08230

Wang, H. J., Zhu, Z., & Zhou, J. (2009). QUANTILE REGRESSION IN PARTIALLY LINEAR VARYING COEFFICIENT MODELS. ANNALS OF STATISTICS, 37(6B), 3841–3866. https://doi.org/10.1214/09-AOS695

Thomas, R., Duke, S. E., Wang, H. J., Breen, T. E., Higgins, R. J., Linder, K. E., … Breen, M. (2009). ‘Putting our heads together’: insights into genomic conservation between human and canine intracranial tumors. Journal of Neuro-Oncology, 94(3), 333–349. https://doi.org/10.1007/s11060-009-9877-5

Wang, H., & He, X. (2008). An enhanced quantile approach for assessing differential gene expressions. BIOMETRICS, 64(2), 449–457. https://doi.org/10.1111/j.1541-0420.2007.00903.x

Wang, H., & He, X. (2007). Detecting differential expressions in GeneChip microarray studies: A quantile approach. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 102(477), 104–112. https://doi.org/10.1198/016214506000001220

Wang, H., & Huang, S. (2007). Mixture-model classification in DNA content analysis. CYTOMETRY PART A, 71A(9), 716–723. https://doi.org/10.1002/cyto.a.20443

Wang, H. X., Huang, S. G., Shou, J. Y., Su, E. W., Onyia, J. E., Liao, B. R., & Li, S. Y. (2006). Comparative analysis and integrative classification of NC160 cell lines and primary tumors using gene expression profiling data. BMC Genomics, 7.