Alyson Wilson | |
---|---|
Born | Alyson G. Wilson |
Occupations |
|
Alyson Gabbard Wilson (born 1967) [1] is an American statistician known for her work on Bayesian methods for reliability estimation and on military applications of statistics. She is a professor of statistics at North Carolina State University, where she is also Associate Vice Chancellor for National Security and Special Research Initiatives.
Wilson graduated summa cum laude from Rice University in 1989. After earning a master's degree in statistics from Carnegie Mellon University in 1990, she completed a Ph.D. at Duke University in 1995. [2] Her dissertation, Statistical Models for Shapes and Deformations, was supervised by Valen E. Johnson. [3]
After completing her doctorate, Wilson worked in the defense industry as a statistician for four years before joining the research staff at Los Alamos National Laboratory in 1999, [2] working on the statistical reliability of weapons. [4] She moved to Iowa State University as an associate professor of statistics in 2008, and then moved again to the Institute for Defense Analyses in 2011. She returned to academia as an associate professor at North Carolina State University in 2011, and was promoted to full professor in 2015. In 2020 she became Associate Vice Chancellor for National Security and Special Research Initiatives at North Carolina State. [2]
With Michael S. Hamada, C. Shane Reese, and Harry F. Martz, Wilson is a co-author of the book Bayesian Reliability (Springer, 2008). [5]
Wilson became a Fellow of the American Statistical Association in 2008, an Elected Member of the International Statistical Institute in 2012, and a Fellow of the American Association for the Advancement of Science in 2015. [2]
She won the Army Wilks Award of the Conference on Applied Statistics in Defense, given periodically for "a substantial contribution to statistical methodology and application relevant to national defense" (and not to be confused with the Samuel S. Wilks Memorial Award of the American Statistical Association) in 2015. [6] In 2018, she won the Distinguished Achievement Award of the American Statistical Association Section on Statistics in Defense and National Security. [4]
Judith M. Tanur is an American statistician and sociologist who is Distinguished Teaching Professor Emerita of Sociology at Stony Brook University.
Jennifer Ann Hoeting is an American statistician known for her work with Adrian Raftery, David Madigan, and others on Bayesian model averaging. She is a professor of statistics at Colorado State University, and executive editor of the open-access journal Advances in Statistical Climatology, Meteorology and Oceanography, published by Copernicus Publications. With Geof H. Givens, a colleague at Colorado State, she is the author of Computational Statistics, a graduate textbook on computational methods in statistics.
Gerda Claeskens is a Belgian statistician. She is a professor of statistics in the Faculty of Economics and Business at KU Leuven, associated with the KU Research Centre for Operations Research and Business Statistics (ORSTAT).
Wendy L. Martinez is an American statistician. She directs the Mathematical Statistics Research Center of the Bureau of Labor Statistics, and is the coordinating editor of the journal Statistics Surveys. In 2018, Martinez was elected president of the American Statistical Association for the 2020 term.
Carol Anne Gotway Crawford is an American mathematical statistician and from 2018 to 2020 served as Chief Statistician of the U.S. Government Accountability Office (GAO). She joined the GAO in May 2017. From August 2014 to April 2017, she was with the Department of Agriculture's National Agricultural Statistics Service. She was formerly at the National Center for Environmental Health of the Centers for Disease Control and Prevention. She also holds an adjunct faculty position at the Rollins School of Public Health of Emory University, and is an expert in biostatistics, spatial analysis, environmental statistics, and the statistics of public health. She also maintains an interest in geoscience and has held executive roles in the International Association for Mathematical Geosciences.
Sonia Petrone is an Italian mathematical statistician, known for her work in Bayesian statistics, including use of Bernstein polynomials for nonparametric methods in Bayesian statistics.[RBP][BDE][CPP] With Patrizia Campagnoli and Giovanni Petris she is the author of the book Dynamic Linear Models with R .[DLM]
Raquel Prado is a Venezuelan Bayesian statistician. She is a professor of statistics in the Jack Baskin School of Engineering of the University of California, Santa Cruz, and has been elected president of the International Society for Bayesian Analysis for the 2019 term.
Judith T. Lessler is an American statistician and expert on survey methodology, particularly on surveys relating to health and epidemiology.
Nancy Robbins Mann is an American statistician known for her research on quality management, reliability estimation, and the Weibull distribution.
Claudia Klüppelberg is a German mathematical statistician and applied probability theorist, known for her work in risk assessment and statistical finance. She is a professor emerita of mathematical statistics at the Technical University of Munich.
Christine Michaela Anderson-Cook is a U.S. and Canadian statistician known for her work on the design of experiments, response surface methodology, reliability analysis in quality engineering, multiple objective optimization and decision-making, and the applications of statistics in nuclear forensics. She has published over 200 research articles in statistical, engineering and interdisciplinary journals. She also written on misunderstandings caused by "hidden jargon": technical terms in statistics that are difficult to distinguish from colloquial English.
Marcia Lynn Gumpertz is an American statistician known for her research on agricultural statistics, spatial analysis, the design of experiments, and plant disease epidemiology. She has also studied employment issues for women and members of underrepresented minorities in science and technology. She is a professor of statistics at North Carolina State University.
Virginia Ann Clark was an American statistician, professor emeritus of biostatistics at the University of California, Los Angeles, and the coauthor of several books on statistics.
Maura Ellen Stokes is an American statistician and novelist. She is a senior director of research and development for the SAS Institute, the co-author of the statistics book Categorical Data Analysis using SAS, and a Fellow of the American Statistical Association. She is also the author of the early-teen novel Fadeaway, published by Simon & Schuster in 2018.
Beth L. Chance is an American statistics educator. She is a professor of statistics at the California Polytechnic State University.
Ana María Fernández Militino is a Spanish spatial statistician. She is a professor of statistics and operations research at the Public University of Navarre. Despite the usual conventions for Spanish surnames, her English-language publications list her name as "Ana F. Militino".
Linda Williams Pickle is an American statistician and expert in spatial analysis and data visualization, especially as applied to disease patterns. She worked as a researcher for the National Cancer Institute, for Georgetown University, and for the National Center for Health Statistics before becoming a statistics consultant and adjunct professor of geography and public health services at Pennsylvania State University.
María Dolores (Lola) Ugarte Martínez is a Spanish statistician specializing in spatial analysis, spatio-temporal analysis, epidemiology, and small area estimation. She is a professor in the Statistics, Computer Science, and Mathematics Department at the Public University of Navarre.
Jennifer Lynn Hill is an American statistician specializing in causal inference with applications to social statistics. She is a professor of applied statistics at New York University in the Steinhardt School of Culture, Education, and Human Development.
Ruth Mary Mickey is a retired American statistician known for her research on feature selection to control the effects of confounding on statistical inference, and on the applications of statistics to issues of public health and natural resources. She is a professor emerita in the University of Vermont Department of Mathematics & Statistics.
{{citation}}
: CS1 maint: untitled periodical (link){{citation}}
: CS1 maint: untitled periodical (link){{citation}}
: CS1 maint: untitled periodical (link){{citation}}
: CS1 maint: untitled periodical (link){{citation}}
: CS1 maint: untitled periodical (link)