Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-9865-7128
Scopus Author ID: 56251840800
Google Scholar Profile: 4on4dj4AAAAJ
Impact
Qualifications (Brief)
PhD - Statistics (University of Wisconsin-Madison)
M.S. - Statistics (Nankai University)
B.S. - Mathematics (Nankai University)
Biography
Lilun DU is an Associate Professor of Management Sciences at the College of Business, City University of Hong Kong. He received his Ph.D. in Statistics from University of Wisconsin-Madison in 2015. His research interests include large-scale inference, empirical Bayes methods, and operations research.
Projects
Research Grants
- PI: "A unified framework for multiple testing with auxiliary information: a sample-splitting approach", GRF - RGC, Amount: 396,967 (2021-2023), Lilun Du and Changliang Zou
- co-PI: "High- Volume Recruiting: Theory and Applications", GRF - RGC, Amount: 622, 000 (2021-2023), Qing LI and Lilun DU
- PI: "Dynamic false discovery rate with application to sequential and spatial pattern detection", ECS - RGC, Amount: 425,304 (2016-2019), Lilun DU
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Collaborations from the last five years
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Research output
- 14 RGC 21 - Publication in refereed journal
-
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
Open AccessFile36 Downloads (CityUHK Scholars) -
Dynamic Statistical Learning in Massive Datastreams
Wang, J., Du, L., Zou, C. & Wu, Z., 2024, (Accepted/In press/Filed) In: Statistica Sinica. SS-2023-0195.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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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
Open AccessFile2 Citations (Scopus)2 Downloads (CityUHK Scholars) -
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
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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
29 Citations (Scopus)
Projects
- 1 Finished
-
GRF: A Unified Framework for Multiple Testing with Auxiliary Information: a Sample-splitting Approach
DU, L. (Principal Investigator / Project Coordinator) & ZOU, C. (Co-Investigator)
1/01/21 → 18/06/24
Project: Research