- Ph.D. in Statistics, University of Minnesota, Twin Cities, 2014
- M.S. in Chemistry, Stanford University, 2008
- B.S. in Chemistry, Peking University, Beijing, 2006
- STAT 603: Vector Spaces and Optimization
Research High-dimensional modeling, sequential decision making, dimension reduction, nonparametric and semiparatric estimation, forecasting, and data science applications.
Qian, W. and Yang, Y. (2016) Randomized Allocation with Arm Elimination in a Bandit Problem with Covariates, Electronic Journal of Statistics, 10, 242-270.
Qian, W. and Yang, Y. (2016) Kernel Estimation and Model Combination in a Bandit Problem with Covariates, Journal of Machine Learning Research, 17(149), 1-37.
Yang, Y., Qian, W. and Zou, H. (2016) Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models, Journal of Business and Economic Statistics, in press.
Qian, W., Yang, Y. and Zou, H. (2016) Tweedie’s Compound Poisson Model with Grouped Elastic Net, Journal of Computational and Graphical Statistics, 25, 606–625.
Qian, W. and Yang, Y. (2013) Model Selection via Standard Error Adjusted Adaptive Lasso, Annals of the Institute of Statistical Mathematics, 65, 295-318.
Qian, W. and Yang, Y. (2012) Randomized Allocation with Dimension Reduction in a Bandit Problem with Covariates, In Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 1537-1541.
Patel, R., Caraviello, D. and Qian, W. (2012) Improving Lasso Performance for Grey Leaf Spot Disease Resistance Prediction Based on Genotypic Data by Considering All Possible Two-Way SNP Interactions, Integrative Biology, 4, 564-567.
Trost, B. M., Sieber, J. D., Qian, W., Dhawan, R. and Ball, Z. T. (2009) Asymmetric Total Synthesis of Soraphen A: a Flexible Alkyne Strategy, Angewandte Chemie International Edition, 121, 5586-5589.