Wei Qian

Education

• 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

Select Publications

• 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.

Website

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