| Protecting customer privacy when marketing with second-party data MJ Schneider, S Jagpal, S Gupta, S Li, Y Yu International Journal of Research in Marketing 34 (3), 593-603, 2017 | 71 | 2017 |
| A flexible method for protecting marketing data: An application to point-of-sale data MJ Schneider, S Jagpal, S Gupta, S Li, Y Yu Marketing Science 37 (1), 153-171, 2018 | 43 | 2018 |
| Assessing partial association between ordinal variables: quantification, visualization, and hypothesis testing D Liu, S Li, Y Yu, I Moustaki Journal of the American Statistical Association 116 (534), 955-968, 2021 | 20 | 2021 |
| Impact of the COVID-19 pandemic on the stock market and investor online word of mouth X Zhu, S Li, K Srinivasan, MT Lash Decision Support Systems 176, 114074, 2024 | 11 | 2024 |
| Reidentification Risk in Panel Data: Protecting for k-Anonymity S Li, MJ Schneider, Y Yu, S Gupta Information Systems Research 34 (3), 1066-1088, 2023 | 10 | 2023 |
| Penalized maximum tangent likelihood estimation and robust variable selection Y Qin, S Li, Y Li, Y Yu arXiv preprint arXiv:1708.05439, 2017 | 8 | 2017 |
| PAsso: an R Package for Assessing Partial Association between Ordinal Variables S Li, X Zhu, Y Chen, D Liu The R Journal 13 (2), 2021 | 5 | 2021 |
| Corporate Probability of Default: A Single-Index Hazard Model Approach S Li, S Tian, Y Yu, X Zhu, H Lian Journal of Business & Economic Statistics 41 (4), 1288-1299, 2023 | 3 | 2023 |
| Quantile regression feature selection and estimation with grouped variables using Huber approximation B Sherwood, S Li Statistics and Computing 32 (5), 75, 2022 | 3 | 2022 |
| Online Supplemental Material: Impact of the COVID-19 Pandemic on the Stock Market and Investor Online Word of Mouth X Zhu, S Li, K Srinivasan, M Lash Available at SSRN 4536927, 2023 | | 2023 |
| Surrogate method for partial association between mixed data with application to well-being survey analysis S Li, Z Fan, I Liu, PS Morrison, D Liu arXiv preprint arXiv:2306.05362, 2023 | | 2023 |
| hrqglas: Group Variable Selection for Quantile and Robust Mean Regression S Li, B Sherwood R Package, 2023 | | 2023 |
| Package ‘PAsso’ XJ Zhu, S Li, D Liu, Y Chen | | 2022 |
| Two Essays on High-Dimensional Robust Variable Selection and an Application to Corporate Bankruptcy Prediction S Li University of Cincinnati, 2018 | | 2018 |
| MTE: Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection S Li, Y Qin R Package, 2017 | | 2017 |
Yan YuJoseph S. Stern Professor of Business Analytics, University of Cincinnati在 uc.edu 的电子邮件经过验证
