Related Research Articles
Grace Goldsmith Wahba is an American statistician and now-retired I. J. Schoenberg-Hilldale Professor of Statistics at the University of Wisconsin–Madison. She is a pioneer in methods for smoothing noisy data. Best known for the development of generalized cross-validation and "Wahba's problem", she has developed methods with applications in demographic studies, machine learning, DNA microarrays, risk modeling, medical imaging, and climate prediction.
Bradley Efron is an American statistician. Efron has been president of the American Statistical Association (2004) and of the Institute of Mathematical Statistics (1987–1988). He is a past editor of the Journal of the American Statistical Association, and he is the founding editor of the Annals of Applied Statistics. Efron is also the recipient of many awards.
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.
Bryna Rebekah Kra is an American mathematician and Sarah Rebecca Roland Professor at Northwestern University who is on the board of trustees of the American Mathematical Society and was elected the president of American Mathematical Society in 2021. As a member of American Academy of Arts and Sciences and National Academy of Sciences, Kra has made significant contributions to the structure theory of characteristic factors for multiple ergodic averages. Her academic work centered on dynamical systems and ergodic theory, and uses dynamical methods to address problems in number theory and combinatorics.
Jacqueline Meulman is a Dutch statistician and professor emerita of Applied Statistics at the Mathematical Institute of Leiden University.
Ju-Lee Kim is a South Korean mathematician who works as a professor of mathematics at the Massachusetts Institute of Technology (MIT). Her research involves the representation theory of p-adic groups.
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.
Rebecca A. Betensky is a professor of biostatistics and chair of the department of biostatistics at New York University's School of Global Public Health. Previously, she was a professor of biostatistics at the Harvard T.H. Chan School of Public Health, where she directed the biostatistics program for the Harvard Clinical and Translational Science Center. She was also a biostatistician for Massachusetts General Hospital, where she directed the biostatistics core of the Alzheimer’s Disease Research Center.
Naomi Altman is a statistician known for her work on kernel smoothing and kernel regression, and interested in applications of statistics to gene expression and genomics. She is a professor of statistics at Pennsylvania State University, and a regular columnist for the "Points of Significance" column in Nature Methods.
Ingrid Van Keilegom is a Belgian statistician. She is a professor of operations research and business statistics at KU Leuven, and an extraordinary professor at the Université catholique de Louvain. Her research interests include survival analysis, observational error, econometrics, and nonparametric statistics.
Huixia Judy Wang is a statistician who works as a professor of statistics at George Washington University. Topics in her research include quantile regression and the application of biostatistics to cancer.
Florentina Bunea is a Romanian-American statistician, interested in machine learning, the theory of empirical processes, and high-dimensional statistics. She is a professor at Cornell University.
Katrina Jane Sharples is a New Zealand biostatistician. She is full professor in the Department of Mathematics and Statistics at the University of Otago, and head of statistics at Otago.
Rina Foygel Barber is an American statistician whose research includes works on the Bayesian statistics of graphical models, false discovery rates, and regularization. She is the Louis Block Professor of statistics at the University of Chicago.
Mia Hubert is a Belgian mathematical statistician known for her research on topics in robust statistics including medoid-based clustering, regression depth, the medcouple for robustly measuring skewness, box plots for skewed data, and robust principal component analysis, and for her implementations of robust statistical algorithms in the R statistical software system, MATLAB, and S-PLUS. She is a professor in the statistics and data science section of the department of mathematics at KU Leuven.
Nedret Billor is a Turkish statistician known for her work on robust statistics and outlier detection. She is a professor of statistics at Auburn University.
Miriam (Miki) Gasko Donoho is an American statistician whose research topics have included data visualization, equivalences between binary regression and survival analysis, and robust regression.
Júlia Volaufová is a Slovak biostatistician whose research has applied statistics to questions involving food intake, dietary supplements, calorie restriction, body weight, and diabetes. Her more theoretical interests include mixed linear models, regression analysis, and statistical hypothesis testing. She is a professor emerita of biostatistics at the LSU Health Sciences Center New Orleans.
Damla Şentürk is a Turkish-American biostatistician and professor of biostatistics in the University of California, Los Angeles Fielding School of Public Health whose interests include longitudinal studies, functional data analysis, and applications of biostatistics in the study of autism and of dialysis outcomes.
Shujie Ma is a Chinese-American statistician specializing in nonparametric regression and semiparametric regression and their applications in machine learning. She is a professor of statistics at the University of California, Riverside.
References
- 1 2 Curriculum vitae (PDF), retrieved 2021-12-07
- ↑ "Hyune-ju Kim", People, Stanford Department of Statistics, retrieved 2021-12-07
