Prof. DU Lilun (杜理論)

Research Output

  1. 2024
  2. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

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  3. 2023
  4. Published

    Change-detection-assisted multiple testing for spatiotemporal data

    Wang, Y. & Du, L., Dec 2023, In: Journal of Statistical Planning and Inference. 227, p. 57-74

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  5. 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 ReviewsRGC 21 - Publication in refereed journalpeer-review

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  6. 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. 607-621

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 14
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  7. 2022
  8. Separation of Perishable Inventories in Offline Retailing Through Transshipment

    Li, Q., Yu, P. & Du, L., Mar 2022, In: Operations Research. 70, 2, p. 666-689

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 5
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  9. An Empirical Bayes Method for Chi-Squared Data

    Du, L. & Hu, I., 2022, In: Journal of the American Statistical Association. 117, 537, p. 334-347

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  10. 2020
  11. 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. 942-957

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 2
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  12. 2019
  13. 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. 147-157

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 6
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  14. 2018
  15. Factor-adjusted multiple testing of correlations

    Du, L., Lan, W., Luo, R. & Zhong, P., Dec 2018, In: Computational Statistics and Data Analysis. 128, p. 34-47

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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  16. 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. 1-14

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 9
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  17. 2017
  18. 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. 1048-1091

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  19. 2014
  20. Single-index modulated multiple testing

    DU, L. & ZHANG, C., Aug 2014, In: Annals of Statistics. 42, 4, p. 1262-1311

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 18
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  21. 2011
  22. 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. 1093-1113

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 8
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