Research Interests
- Data mining and statistical learning
- Dimension reduction and feature selection
- Non-/Semi-parametric statistical methods
- Business analytics
- Statistical applications
Publications
Statistical Methodology
- Wang, Q. and Xue, Y. (2022). A structured covariance ensemble for sufficient dimension reduction. Advances in Data Analysis and Classification, accepted.
- Li, L, Ke, C. and Wang, Q. (2022). Local Support Vector Machine based dimension reduction. Statistical Analysis and Data Mining, 722-735.
- Wang, Q. and Yin, X. (2021). Aggregate inverse mean estimation for sufficient dimension reduction. Technometrics, 456-465.
- Zhang, J., Wang, Q. and Mays, D. (2021). Robust MAVE through nonconvex penalized regression. Computational Statistics and Data Analysis, 107247.
- Wang, Q. and Xue, Y. (2021). An ensemble of inverse moment estimators for sufficient dimension reduction. Computational Statistics and Data Analysis, 107241.
- Rekabdarkolaee, H., Wang, Q., Naji, Z. and Fuentus, M. (2020). New Parsimonious Multivariate Spatial Model: Spatial Envelope. Statistica Sinica, 30, 1583-1604.
- Wang, Q., Yin, X., Li, B. and Tang, Z. (2020). On aggregate dimension reduction. Statistica Sinica, 30, 1027-1048.
- Xue, Y., Wang, Q. and Yin, X. (2018). A unified approach to sufficient dimension reduction. Journal of Statistical Planning and Inference, 197, 168-179.
- Rekabdarkolaee, H. and Wang, Q. (2017). Variable selection through adaptive MAVE. Statistics and Probability Letters, 128, 44-51.
- Rekabdarkolaee, H., Boone, E. and Wang, Q. (2017). Robust estimation and variable selection in sufficient dimension reduction. Computational Statistics and Data Analysis, 108, 146-157.
- Lian, H. and Wang, Q. (2016). Kernel additive sliced inverse regression. Statistica Sinica , 26, 527-546.
- Chen, Y., Wang, Q. and Yao, W. (2015). Adaptive estimation for varying coefficient models. Journal of Multivariate Analysis, 137, 17-31.
- Wang, Q., Yin, X. and Critchley, F. (2015). Dimension reduction based on Hellinger integral. Biometrika, 102, 95-106.
- Wang, Q. and Wu, R. (2015). Semiparametric regression with time series of counts. Communications in Statistics - Theory and Methods, 44, 983-995.
- Wang, Q. and Wu, R. (2013). Shrinkage estimation of partially linear single-index models. Statistics and Probability Letters, 83, 2324-2331.
- Yao, W. and Wang, Q. (2013). Robust variable selection through MAVE. Computational Statistics and Data Analysis, 63, 42-49.
- Wu, R. and Wang, Q. (2012). Shrinkage estimation for linear regression with ARMA errors. Journal of Statistical Planning and Inference, 142, 2136-2148.
- Wang, Q. and Yao, W. (2012). An adaptive estimation of MAVE. Journal of Multivariate Analysis, 104, 88-100.
- Wang, Q. and Yin, X. (2011). Estimation of inverse mean: an orthogonal series approach. Computational Statistics and Data Analysis, 55, 1656-1664.
- Wang, Q. (2010). A shrinkage estimation of central subspace in sufficient dimension reduction. Communications in Statistics - Simulation and Computation, 39, 1868-1876.
- Wang, Q. and Yin, X. (2008). Sufficient dimension reduction and variable selection for regression mean function with two types of predictors. Statistics and Probability Letters, 78, 2798-2803.
- Wang, Q. and Yin, X. (2008). A nonlinear multi-dimensional variable selection method for high dimensional data: Sparse MAVE. Computational Statistics and Data Analysis , 52, 4512-4520.
Collaboration
- Ma, L., Steinberg, J., Bjork, J., Wang, Q., Hettema, J., Abbate, A., and Moeller, F. (2020). Altered effective connectivity of central autonomic network in response to negative facial expression in adults with cannabis use disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(1), 84-96.
- Sholler, D. J., Stutz, S. J., Fox, R. G., Boone, E. L., Wang, Q., Rice, K. C., Moeller, F. G., Anastasio, N. C., and Cunningham, K. C. (2019). The 5-HT2A receptor (5-HT2AR) regulates impulsive action and cocaine cue reactivity in male Sprague-Dawley rats. The Journal of Pharmacology and Experimental Therapeutics, 368(1): 41-49.
- Johns, S., Wang, Q., Straub, L. K., and Moeller, F. (2018). Impulsivity and decision making in older and younger cocaine‐dependent participants: A preliminary study The American Journals on Addictions, 27: 557-559.
- Ma, L., Steinberg, J., Bjork, J., Keyser-Marcus, L., Vassileva, J., Zhu, M., Ganapathy, V., Wang, Q., Boone, E., Ferre, S., Bickel, W., and Moeller, F. (2018). Fronto-striatal effective connectivity of working memory in adults with cannabis use disorder. Psychiatry Research: Neuroimaging, 278, 21-34.
- Ma, L., Steiberg, J., Wang, Q., Schmitz, J., Boone, E., Narayana, P., and Moeller, F. (2017). A preliminary longitudinal study of white matter degradation in cocaine use disorder subjects. Drug and Alcohol Dependence, 173, 39-46.
- Pakyz, A., Jawahar, R., Wang, Q. and Spencer, H. (2014). Medication risk factor associated with healthcare-associated clostridium diffcile infection: a multilevel model case control study among 64 US academic medical centers. Journal of Antimicrobial Chemotherapy, 69, 1127-1131.
- Patricio S. La Rosa, J. Paul Brooks, Elena Deych, Edward L. Boone, David J. Edwards, Qin Wang, Erica Sodergen, George Weinstock, and William D. Shannon (2012). Hypothesis testing and power calculations for Taxonomic-based Human Microbiome Data. PLOS ONE, 7(12):e52078.
- Brooks, P., Rivera, M., Boone, E., Edwards, D., Wang, Q., LaRosa, P. and Shannon, B. (2011). Methods for the Analysis of Human Microbiome Data. Proceedings of the 6th INFORMS Workshop on Data Mining and Health Informatics (DM-HI 2011).
- Dong, W., Tang, X., Yu, Y., Griffith, J., Nilsen, R., Choi, D., Baldwin, J., Hilton, L., Kelps, K., McGuire, J., Morgan, R., Smith, M., Case, M., Arnold, J., Schuttler, H.-B.,Wang, Q., Liu, J., Reeves, J., Logan, D. (2007). Systems biology of the Neurospora biological clock. IET Systems Biology, 1(5), 257-265.
- Arnold, J., W. Dong, J. Griffith, D. Choi, J. Baldwin, L. Hilton, K. Kelps, J. McGuire, R. Morgan, M. Smith, Q. Wang, J. Liu, J. Reeves, D.A. Logan, M.E. Case, and H.-B. Schuttler (2006). Systems biology of the biological clock. IEEE Proceedings of the First International Conference on Computational Systems Biology (ICCSB-2006), 119-125.