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]
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 |
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. |
The following outline is provided as an overview of and topical guide to statistics:
Maurice Stevenson Bartlett FRS was an English statistician who made particular contributions to the analysis of data with spatial and temporal patterns. He is also known for his work in the theory of statistical inference and in multivariate analysis.
Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data. That is, no parametric form is assumed for the relationship between predictors and dependent variable. Nonparametric regression requires larger sample sizes than regression based on parametric models because the data must supply the model structure as well as the model estimates.
The term kernel is used in statistical analysis to refer to a window function. The term "kernel" has several distinct meanings in different branches of statistics.
In statistics, kernel regression is a non-parametric technique to estimate the conditional expectation of a random variable. The objective is to find a non-linear relation between a pair of random variables X and Y.
Florence Nightingale David, also known as F. N. David was an English statistician. She was head of the Statistics Department at the University of California, Riverside between 1970 – 77 and her research interests included the history of probability and statistical ideas.
Nancy Margaret Reid is a Canadian theoretical statistician. She is a professor at the University of Toronto where she holds a Canada Research Chair in Statistical Theory. In 2015 Reid became Director of the Canadian Institute for Statistical Sciences.
Robert Tibshirani is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.
William Swain Cleveland II is an American computer scientist and Professor of Statistics and Professor of Computer Science at Purdue University, known for his work on data visualization, particularly on nonparametric regression and local regression.
Grace Yun Yi is a professor of the University of Western Ontario where she currently holds a Tier I Canada Research Chair in Data Science. She was a professor at the University of Waterloo, Canada, where she holds a University Research Chair in Statistical and Actuarial Science. Her research concerns event history analysis with missing data and its applications in medicine, engineering, and social science.
Nicole Alana Lazar is a statistician who holds triple citizenship as an American, Canadian, and Israeli. She is a professor of statistics at the University of Georgia, where she is acting head of the statistics department. Her research interests include empirical likelihood, functional neuroimaging, model selection and the history and sociology of statistics.
Agnes Margaret Herzberg is a Canadian statistician who works as a professor of mathematics and statistics at Queen's University. She was president of the Statistical Society of Canada for 1991–1992, its first female president.
Elizabeth Alison Thompson is a British-born American statistician at the University of Washington. Her research concerns the use of genetic data to infer relationships between individuals and populations. She is the 2017–2018 president of the International Biometric Society.
Louise Marie Ryan is an Australian biostatistician, a distinguished professor of statistics in the School of Mathematical Sciences at the University of Technology Sydney, president-elect of the International Biometric Society, and an editor-in-chief of the journal Statistics in Medicine. She is known for her work applying statistics to cancer and risk assessment in environmental health.
Marie Davidian is an American biostatistician known for her work in longitudinal data analysis and precision medicine. She is the J. Stuart Hunter Distinguished Professor of Statistics at North Carolina State University. She was president of the American Statistical Association for 2013.
Jane Forer Gentleman was an American-Canadian statistician, the second female president of the Statistical Society of Canada, and the first winner of the Janet L. Norwood Award For Outstanding Achievement By A Woman In The Statistical Sciences.
Jana Jurečková is a Czech statistician, known for her work on rankings, robust statistics, outliers and tails, asymptotic theory, and the behavior of statistical estimates for finite sample sizes.
Charmaine B. Dean is a statistician from Trinidad. She is the vice president for research at the University of Waterloo, a professor of statistical and actuarial sciences at both Waterloo and Western University, the former president of the Western North American Region of the International Biometric Society, the former President of the Statistical Society of Canada. Her research interests include longitudinal studies, survival analysis, spatiotemporal data, heart surgery, and wildfires.
Sharon Xiangwen Xie is a Chinese biostatistician and epidemiologist who studies neurodegenerative diseases. She is a professor of biostatistics in the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania.