School of Arts and Sciences, Statistics

Fingerprint Dive into the research topics where School of Arts and Sciences, Statistics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

  • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Projects

    Research Output

    A CD-based mapping method for combining multiple related parameters from heterogeneous intervention trials

    Jiao, Y., Mun, E. Y., Trikalinos, T. A. & Xie, M., 2020, In : Statistics and its Interface. 13, 4, p. 533-549 17 p.

    Research output: Contribution to journalArticle

    Open Access
  • A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series

    Sung, C. L., Hung, Y., Rittase, W., Zhu, C. & Jeff Wu, C. F., Apr 2 2020, In : Journal of the American Statistical Association. 115, 530, p. 945-956 12 p.

    Research output: Contribution to journalArticle

  • 1 Scopus citations

    An advantage actor-critic algorithm with confidence exploration for open information extraction

    Liu, G., Li, X., Sun, M. & Li, P., 2020, Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020. Demeniconi, C. & Chawla, N. (eds.). Society for Industrial and Applied Mathematics Publications, p. 217-225 9 p. (Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 1 Scopus citations