Huixia Judy Wang

Estimation of Extreme Conditional Quantiles Through Power Transformation

Wang, H. J., & Li, D. (2013, July 16). Journal of the American Statistical Association.

Flexible modeling of survival data with covariates subject to detection limits via multiple imputation

Bernhardt, P. W., Wang, H. J., & Zhang, D. (2013, July 29). Computational Statistics & Data Analysis.

Interquantile Shrinkage in Regression Models

Jiang, L., Wang, H. J., & Bondell, H. D. (2013, October 1). Journal of Computational and Graphical Statistics.

Interquantile shrinkage and variable selection in quantile regression

Jiang, L., Bondell, H. D., & Wang, H. J. (2013, August 20). Computational Statistics & Data Analysis.

Variable selection for censored quantile regresion

Statistica Sinica, 23(1), 145–167.

A unified variable selection approach for varying coefficient models

Statistica Sinica, 22(2), 601–628.

Corrected-loss estimation for quantile regression with covariate measurement errors

Wang, H. J., Stefanski, L. A., & Zhu, Z. (2012, March 30). Biometrika, Vol. 99, pp. 405–421.

Estimation of High Conditional Quantiles for Heavy-Tailed Distributions

Wang, H. J., Li, D., & He, X. (2012, August 14). Journal of the American Statistical Association.

Multiple Imputation for M -Regression With Censored Covariates

Wang, H. J., & Feng, X. (2012, March 1). Journal of the American Statistical Association.

Quantile regression for competing risks data with missing cause of failure

Statistica Sinica, 22(2), 703–728.

Variable selection in quantile varying coefficient models with longitudinal data

Tang, Y., Wang, H. J., & Zhu, Z. (2012, July 21). Computational Statistics & Data Analysis.

An informative subset-based estimator for censored quantile regression

Tang, Y., Wang, H. J., He, X., & Zhu, Z. (2011, September 22). Test.

Editorial for the special issue on quantile regression and semiparametric methods

Fung, W.-K., He, X., Hubert, M., Portnoy, S., & Wang, H. J. (2011, December 24). Computational Statistics & Data Analysis.

Effects of Mowing on Anthraquinone for Deterrence of Canada Geese

Ayers, C. R., Moorman, C. E., Deperno, C. S., Yelverton, F. H., & Wang, H. J. (2010, November 1). Journal of Wildlife Management, Vol. 74, pp. 1863–1868.

Empirical likelihood for quantile regression models with longitudinal data

Wang, H. J., & Zhu, Z. (2010, November 21). Journal of Statistical Planning and Inference.

Estimation of the retransformed conditional mean in health care cost studies

Wang, H. J., & Zhou, X.-H. (2010, February 16). Biometrika.

Identification of Differential Aberrations in Multiple-Sample Array CGH Studies

Wang, H. J., & Hu, J. (2010, July 9). Biometrics.

Noncrossing quantile regression curve estimation

Bondell, H. D., Reich, B. J., & Wang, H. (2010, August 30). Biometrika, Vol. 97, pp. 825–838.

Variance estimation in censored quantile regression via induced smoothing

Pang, L., Lu, W., & Wang, H. J. (2010, October 23). Computational Statistics & Data Analysis, Vol. 56, pp. 785–796.

Flexible Bayesian quantile regression for independent and clustered data

Reich, B. J., Bondell, H. D., & Wang, H. J. (2009, November 30). Biostatistics, Vol. 11, pp. 337–352.

Inference for censored quantile regression models in longitudinal studies

Wang, H. J., & Fygenson, M. (2009, March 10). The Annals of Statistics.

Inference on quantile regression for heteroscedastic mixed models

Statistica Sinica, 19(3), 1247–1261.

Influence of genetic background on tumor karyotypes: Evidence for breed-associated cytogenetic aberrations in canine appendicular osteosarcoma

Thomas, R., Wang, H. J., Tsai, P.-C., Langford, C. F., Fosmire, S. P., Jubala, C. M., … Breen, M. (2009, March 31). Chromosome Research, Vol. 17, pp. 365–377.

Locally Weighted Censored Quantile Regression

Wang, H. J., & Wang, L. (2009, August 27). Journal of the American Statistical Association.

QUANTILE REGRESSION IN PARTIALLY LINEAR VARYING COEFFICIENT MODELS

Wang, H. J., Zhu, Z., & Zhou, J. (2016, August 16).

‘Putting our heads together’: insights into genomic conservation between human and canine intracranial tumors

Journal of Neuro-Oncology, 94(3), 333–349.

An Enhanced Quantile Approach for Assessing Differential Gene Expressions

Wang, H., & He, X. (2008, March 6). Biometrics.

Detecting Differential Expressions in GeneChip Microarray Studies

Wang, H., & He, X. (2007, February 4). Journal of the American Statistical Association.

Mixture‐model classification in DNA content analysis

Wang, H., & Huang, S. (2007, July 25). Cytometry Part A.

Comparative analysis and integrative classification of NC160 cell lines and primary tumors using gene expression profiling data

BMC Genomics, 7.