My name is Yichen Qin.  I am an Associate Professor of Business Analytics in the Department of Operations, Business Analytics and Information Systems (OBAIS), Carl H. Lindner College of Business, University of Cincinnati.  Before joining UC, I received my Ph.D. in Applied Mathematics and Statistics at Johns Hopkins University in 2013 under Professor Carey E. Priebe. 

• Email: qinyn@ucmail.uc.edu

• Personal Website: https://www.yichenqin.com

• University Website: https://business.uc.edu/faculty-research/obais/faculty/yichen-qin.html

• Address: 3366 Carl H. Lindner Hall, 2906 Woodside Drive, Cincinnati, OH 45221

• Research Interests: computational statistics, mixture models, robust statistics, model selection, design of experiments, network analysis, and data visualization.

Publications (** advisee; * correspondence author):

• Yang, H.,** Qin, Y., Li, Y., Hu, F., "Sequential Covariate-Adjusted Randomization via Hierarchically Minimizing Mahalanobis Distance and Marginal Imbalance," Biometrics, accepted, 2024.

• Wang, F., Xu, S., Qin, Y., Shen, Y., Li, Y., "Sparse Clustering for High-Dimensional Data with Mixed Types," Annals of Applied Statistics, accepted, 2024.

• Mei, H., Xie, J., Qin, Y., Li, Y., "Network and Covariate Adjusted Response-Adaptive Design for Binary Response," Statistics in Medicine, accepted, 2024,

• Yang, H.,** Qin, Y, Wang, F., Li, Y., Hu, F., "Balancing Covariates in Multi-Arm Trials via Adaptive Randomization," Computational Statistics & Data Analysis, 179(C), 2023. [code] [paper]

• Qin, Y., Wang, L.,** Li, Y., Li, R., "Visualization and Assessment of Model Selection Uncertainty," Computational Statistics & Data Analysis, 178, 2023. [website] [code] [paper]

• Li, Y., Qi, L., Qin, Y., Lin, C., Yang, Y., "Block Weighted Least Squares Estimation for Nonlinear Cost-Based Split Questionaire Design," Journal of Official Statistics, accepted, 2023.

• Zhang, Z., He, Z., Qin, Y., Shen, Y., Shia, B-C., Li, Y., "Variable Selection with Scalable Bootstrapping in Generalized Linear Model for Massive Data," Journal of Data Science, 21(1), 87-105, 2023.

• Qin, Y., Li, Y., Ma, W., Yang, H., Hu, F., "Adaptive Randomization via Mahalanobis Distance," Statistica Sinica, accepted, 2022. [code] [paper]

• Lin, C., Peng, J., Qin, Y., Li, Y., Yang, Y., "Optimal Integrating Learning for Split Questionnaire Design Type Data," Journal of Computational and Graphical Statistics, accepted, 2022. [paper]

• Chen, J., Bie, R., Qin, Y., Li, Y., Ma, S., "Lq-based Robust Analytics on Ultrahigh and High Dimensional Data," Statistics in Medicine, , 41(26), 5220-5241, 2022. [paper]

• Li, Y., Wang, F., Shen, Y., Qin, Y., Si, J., "Selection of Mixed Copula for Correlation Modeling with Tied Observations," Statistical Methods and Applications, 31, 1127-1180, 2022.

• Qin, Y., Yu, L., Li, Y., "Iterative Connecting Probability Estimation for Networks," Advances in Neural Information Processing Systems (NeurIPS) 34, 1155-1166, 2021. [website & code] [paper]

• Wang, L.**, Qin, Y.*, Li, Y., "Confidence Graphs for Graphical Model Selection," Statistics and Computing, 31(52), 2021. [paper]

• Li, Y., Li, R., Qin, Y., Lin, C., Yang, Y., "Robust Group Variable Screening Based on Maximum Lq-Likelihood Estimation," Statistics in Medicine, 40(30), 6818-6834, 2021. [paper]

• Li, Y., Ma, W., Qin, Y., Hu, F., "Testing for Treatment Effect in Covariate-Adaptive Randomized Trials with Generalized Linear Models and Omitted Covariates," Statistical Methods in Medical Research, 30(9), 2148-2164, 2021. [paper]

• DiCesare, C.A., Green, B., Yuan, W., Diekfuss, J. A., Barber Foss, K. D., Dudley, J., Qin, Y., Wang, P., Myer, G. D., "Machine Learning Classification of Verified Head Impact Exposure Strengthens Associations with Brain Changes," Annals of Biomedical Engineering, 48, 2772-2782, 2020. [paper]

• Ma, W., Qin, Y., Li, Y., Hu, F., "Statistical Inference for Covariate-Adaptive Randomization Procedures," Journal of the American Statistical Association, 115(531), 1488-1497, 2020. [paper]

• Li, Y.**, Li, Y., Qin, Y., Yan, J., "Copula Modeling for Data with Ties," Statistics and Its Interface, 13(1), 103-117, 2020. [code]

• Li, Y., Li, R., Lin, C., Qin, Y., Ma, S., "Penalized Integrative Semiparametric Interaction Analysis for Multiple Genetic Datasets," Statistics in Medicine, 38(17), 3221-3242, 2019. [paper]

• Li, Y., Luo, Y., Ferrari, D., Hu, X., Qin, Y.*, "Model Confidence Bounds for Variable Selection," Biometrics, 75(2), 392-403 and 411-413, 2019. [code] [paper]

• Li, Q.**, Tso, G.K.F., Qin, Y., Lovejoy, T. I., Heckman, T. G., and Li, Y., "Penalized Multiple Inflated Values Selection Method with Application to SAFER Data," Statistical Methods in Medical Research, 28(10-11), 3205-3225, 2019. [paper]

• Li, Y., Li, R., Qin, Y., Wu, M., Ma, S., "Integrative Interaction Analysis using Threshold Gradient Directed Regularization," Applied Stochastic Models in Business and Industry, 35(2), 354-375, 2019.

• Athreya, A., Fishkind, D. E., Tang, M., Priebe, C. E., Park, Y., Vogelstein, J. T., Levin, K., Lyzinski, V., Qin, Y., Sussman, D. L., "Statistical Inference on Random Dot Product Graphs: A Survey," Journal of Machine Learning Research, 8, 1-92, 2018. [paper]

• Li, Y., Bie, R., Teran Hidalgo, S. J., Qin, Y., Wu, M., Ma, S. S., "Assisted Gene Expression-Based Clustering with AWNCut," Statistics in Medicine, 37(29), 4386-4403, 2018.

• Qin, Y., Priebe, C. E., "Robust Hypothesis Testing via Lq-Likelihood," Statistica Sinica, 27, 1793-1813, 2017. [website & code] [paper]

• Li, L., Li, Y., Qin, Y., Wang, L., Chen, J., Yi, D., "Adaptive Stochastic Gradient Boosting Tree with Composite Criterion," Journal of Statistical Computation and Simulation, 86(10), 1901-1911, 2016.

• Zhou, N., Cheng, W., Qin, Y., Yin. Z., "Evolution of High Frequency Systematic Trading: A Performance-Driven Gradient Boosting Model," Quantitative Finance, 15(8), 1387-1403, 2015. [paper]

• Li, Y., Yu, C., Qin, Y., Wang, L., Chen, J., Yi, D., Shia, B.-C., Ma, S., "Regularized Receiver Operating Characteristic Based Logistic Regression for Grouped Variable Selection with Composite Criterion," Journal of Statistical Computation and Simulation, 85(13), 2582-2595, 2015.

• Zeng, X.**, Ma, S., Qin, Y., Li, Y., "Variable Selection in Semiparametric Models for the Strong Hierarchical Longitudinal Data," Statistics and Its Interface, 8(3), 355-365, 2015.

• Li, J.**, Yi, D., Qin, Y., Shen, Y., Li, Y., "Feature Selection for Support Vector Machine in the Study of Financial Early Warning System," Quality and Reliability Engineering International, 30(6), 867-877, 2014.

• Qin, Y., Priebe, C. E., "Maximum Lq-Likelihood Estimation via the Expectation Maximization Algorithm: A Robust Estimation of Mixture Models," Journal of the American Statistical Association, 108(503), 914-928, 2013. [website & code] [paper]

• Li, Y., Qin, Y., Xie, Y., Tian, F., "Grouped Penalization Estimation of Osteoporosis Data in Traditional Chinese Medicine," Journal of Applied Statistics, 40(4), 699-711, 2013.

• Nehren, D., Fellah, D., Ruiz-Mata, J., Qin, Y., "Dynamic Density Estimation of Market Microstructure Variables via Auxiliary Particle Filtering," Journal of Trading, 7(4), 55-64, 2012. [paper]

• Li, Y., Yi, D., Zhang, H., Qin, Y., "Syndrome Evaluation in Traditional Chinese Medicine Using Second-Order Latent Variable Model," Statistics in Medicine, 31(7), 672-680, 2012. [paper]