Naomi Altman

Naomi Altman
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]

Education and career

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]

Recognition

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]

Selected publications

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

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

AV.	Altman, Naomi; Villarreal, Julio (September 2004), "Self-modelling regression for longitudinal data with time-invariant covariates", Canadian Journal of Statistics, 32 (3): 251–268, doi:10.2307/3315928, JSTOR 3315928, S2CID 5763479

References

1. Curriculum vitae (PDF), 2016, retrieved 2017-11-17
2. "Points of Significance", Nature Methods, retrieved 2017-11-17
3. Naomi Altman at the Mathematics Genealogy Project
4. Naomi S. Altman and Julio C. Villarreal, The Canadian Journal of Statistics Award 2005, Statistical Society of Canada, retrieved 2017-11-17
5. ASA Fellows list, American Statistical Association, archived from the original on 2017-12-01, retrieved 2017-11-17

External links

• Home page