Naomi Altman

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Naomi Altman
CitizenshipUnited States
Alma materUniversity of Toronto
Stanford University
Scientific career
InstitutionsCornell University
Penn State University

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[edit]

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 from 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[edit]

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[edit]

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, 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

References[edit]

  1. ^ a b c d e 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, retrieved 2017-11-17

External links[edit]