Regina Liu

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Regina Y. Liu is an American statistician. She is a distinguished professor of statistics and chair of the Department of Statistics and Biostatistics at Rutgers University.[1] Her research concerns robust statistics and nonparametric statistics, including the first formulation of simplicial depth.[PNAS][AS90]

Liu earned her Ph.D. in statistics from Columbia University in 1983, under the supervision of John Raphael Van Ryzin,[2] and joined the Rutgers faculty at that time. She became a distinguished professor at Rutgers in 2001,[3] and department chair in 2005.[4]

Liu became a Fellow of the American Statistical Association in 2005.[5] She is also a fellow of the Institute of Mathematical Statistics.[3]

Selected publications[edit]

AS88. Liu, Regina Y. (1988), "Bootstrap procedures under some non-i.i.d. models", Annals of Statistics, 16 (4): 1696–1708, doi:10.1214/aos/1176351062, MR 0964947
PNAS. Liu, Regina Y. (1988), "On a notion of simplicial depth", Proceedings of the National Academy of Sciences of the United States of America, 85 (6): 1732–1734, doi:10.1073/pnas.85.6.1732, MR 0930658, PMC 279852
AS90. Liu, Regina Y. (1990), "On a notion of data depth based on random simplices", Annals of Statistics, 18 (1): 405–414, doi:10.1214/aos/1176347507, MR 1041400
ELB. Liu, Regina Y.; Singh, Kesar (1992), "Moving blocks jackknife and bootstrap capture weak dependence", Exploring the limits of bootstrap (East Lansing, MI, 1990), Wiley Ser. Probab. Math. Statist. Probab. Math. Statist., New York: Wiley, pp. 225–248, MR 1197787
AS99. Liu, Regina Y.; Parelius, Jesse M.; Singh, Kesar (1999), "Multivariate analysis by data depth: descriptive statistics, graphics and inference", Annals of Statistics, 27 (3): 783–858, doi:10.1214/aos/1018031260, MR 1724033


  1. ^ Faculty and staff, Rutgers Department of Statistics and Biostatistics, retrieved 2017-08-01.
  2. ^ Regina Liu at the Mathematics Genealogy Project
  3. ^ a b Curriculum Vitae, May 2015, retrieved 2017-08-01.
  4. ^ Naus, Joseph (2012), "Rutgers University Department of Statistics and Biostatistics", in Agresti, Alan; Meng, Xiao-Li (eds.), Strength in Numbers: The Rising of Academic Statistics Departments in the U. S., Springer, pp. 243–256, doi:10.1007/978-1-4614-3649-2_18, ISBN 9781461436492. See in particular p. 252.
  5. ^ View/Search Fellows of the ASA, accessed 2017-08-01.

External links[edit]