Prof. DU Lilun (杜理論)
Research Output
- 2024
- Published
A Sequential Model for High-Volume Recruitment Under Random Yields
Du, L., Li, Q. & Yu, P., Jan 2024, In: Operations Research. 72, 1, p. 60-90 31 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
- 2023
- Published
Change-detection-assisted multiple testing for spatiotemporal data
Wang, Y. & Du, L., Dec 2023, In: Journal of Statistical Planning and Inference. 227, p. 57-74Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2 - Published
False Discovery Rate Approach to Dynamic Change Detection
Du, L. & Wen, M., Nov 2023, In: Journal of Multivariate Analysis. 198, 19 p., 105224.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
Du, L., Guo, X., Sun, W. & Zou, C., 2023, In: Journal of the American Statistical Association. 118, 541, p. 607-621Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 28- 2022
Separation of Perishable Inventories in Offline Retailing Through Transshipment
Li, Q., Yu, P. & Du, L., Mar 2022, In: Operations Research. 70, 2, p. 666-689Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9An Empirical Bayes Method for Chi-Squared Data
Du, L. & Hu, I., 2022, In: Journal of the American Statistical Association. 117, 537, p. 334-347Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2- 2020
A Data-Driven Approach to High-Volume Recruitment: Application to Student Admission
Du, L. & Li, Q., Sept 2020, In: Manufacturing & Service Operations Management. 22, 5, p. 942-957Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4- 2019
A Factor-Adjusted Multiple Testing Procedure With Application to Mutual Fund Selection
Lan, W. & Du, L., Jan 2019, In: Journal of Business & Economic Statistics . 37, 1, p. 147-157Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9- 2018
Factor-adjusted multiple testing of correlations
Du, L., Lan, W., Luo, R. & Zhong, P., Dec 2018, In: Computational Statistics and Data Analysis. 128, p. 34-47Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
On-line control of false discovery rates for multiple datastreams
Du, L. & Zou, C., Mar 2018, In: Journal of Statistical Planning and Inference. 194, p. 1-14Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 11- 2017
Estimation of false discovery proportion in multiple testing: From normal to chi-squared test statistics
Du, L. & Zhang, C., 2017, In: Electronic Journal of Statistics. 11, 1, p. 1048-1091Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1- 2014
Single-index modulated multiple testing
DU, L. & ZHANG, C., Aug 2014, In: Annals of Statistics. 42, 4, p. 1262-1311Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 20- 2011
Nonparametric regression function estimation for errors-in-variables models with validation data
Du, L., Zou, C. & Wang, Z., Jul 2011, In: Statistica Sinica. 21, 3, p. 1093-1113Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9