Regina Liu
American statistician
From Wikipedia, the free encyclopedia
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]
Regina Liu | |
|---|---|
| Awards | Elizabeth L. Scott award (2024) |
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
| AS88. | Liu, Regina Y. (1988), "Bootstrap procedures under some non-i.i.d. models", Annals of Statistics, 16 (4): 1696–1708, Bibcode:1988AnSta..1651062L, 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, Bibcode:1988PNAS...85.1732L, doi:10.1073/pnas.85.6.1732, MR 0930658, PMC 279852, PMID 16578830 |
| AS90. | Liu, Regina Y. (1990), "On a notion of data depth based on random simplices", Annals of Statistics, 18 (1): 405–414, Bibcode:1990AnSta..1847507L, doi:10.1214/aos/1176347507, MR 1041400 |
| ELB. |
| 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 |