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Naomi Altman | |
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Citizenship | United States |
Alma mater | University of Toronto Stanford University |
Scientific career | |
Institutions | Cornell University Penn State University |
Academic background | |
Thesis | Smoothing Data with Correlated Errors (1988) |
Academic advisors | Iain M. Johnstone |
Naomi Altman is a statistician known for her work on kernel smoothing[KS] and kernel regression,[KR] and interested in applications of statistics to gene expression and genomics. She is a professor of statistics at Pennsylvania State University,[1] and a regular columnist for the "Points of Significance" column in Nature Methods.[2]
Altman studied mathematics at the University of Toronto, graduating in 1974, and spent two years teaching at Government Teacher's Training College in Lafia, Nigeria. Returning to Canada, she earned a master's degree in statistics from Toronto in 1979.[1]
After working as a statistical consultant at Simon Fraser University and the University of British Columbia, she completed her doctorate in 1988 at Stanford University.[1] Her dissertation, supervised by Iain M. Johnstone, was Smoothing Data with Correlated Errors.[1][3]
She joined the Cornell University faculty, in the Biometrics Unit, and became chair of the Department of Biometrics there from 1997 to 2000. She moved to Penn State in 2001.[1]
Altman and her coauthor Julio C. Villarreal won the 2005 Canadian Journal of Statistics Award for their paper "Self-modelling regression for longitudinal data with time-invariant covariates".[4][AV] In 2009, Altman became a Fellow of the American Statistical Association.[5]
KS. | Altman, N. S. (September 1990), "Kernel smoothing of data with correlated errors", Journal of the American Statistical Association, 85 (411): 749–759, doi:10.1080/01621459.1990.10474936, hdl:1813/33092, JSTOR 2290011
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KR. | Altman, N. S. (August 1992), "An introduction to kernel and nearest-neighbor nonparametric regression", The American Statistician, 46 (3): 175–185, doi:10.1080/00031305.1992.10475879, hdl:1813/31637, JSTOR 2685209
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AV. |