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The following outline is provided as an overview of and topical guide to statistics:
Geostatistics is a branch of statistics focusing on spatial or spatiotemporal datasets. Developed originally to predict probability distributions of ore grades for mining operations, it is currently applied in diverse disciplines including petroleum geology, hydrogeology, hydrology, meteorology, oceanography, geochemistry, geometallurgy, geography, forestry, environmental control, landscape ecology, soil science, and agriculture. Geostatistics is applied in varied branches of geography, particularly those involving the spread of diseases (epidemiology), the practice of commerce and military planning (logistics), and the development of efficient spatial networks. Geostatistical algorithms are incorporated in many places, including geographic information systems (GIS).
David Harold Blackwell was an American statistician and mathematician who made significant contributions to game theory, probability theory, information theory, and statistics. He is one of the eponyms of the Rao–Blackwell theorem. He was the first African American inducted into the National Academy of Sciences, the first African American full professor at the University of California, Berkeley, and the seventh African American to receive a Ph.D. in mathematics. In 2012, President Obama posthumously awarded Blackwell the National Medal of Science.
Sir Adrian Frederick Melhuish Smith, PRS is a British statistician who is chief executive of the Alan Turing Institute and president of the Royal Society.
Jayanta Kumar Ghosh was an Indian statistician, an emeritus professor at Indian Statistical Institute and a professor of statistics at Purdue University.
Richard John Samworth is the Professor of Statistical Science and the Director of the Statistical Laboratory, University of Cambridge, and a Teaching Fellow of St John's College, Cambridge. He was educated at St John's College, Cambridge. His main research interests are in nonparametric and high-dimensional statistics. Particular topics include shape-constrained density estimation and other nonparametric function estimation problems, nonparametric classification, clustering and regression, the bootstrap and high-dimensional variable selection problems.
Alan Enoch Gelfand is an American statistician, and is currently the James B. Duke Professor of Statistics and Decision Sciences at Duke University. Gelfand’s research includes substantial contributions to the fields of Bayesian statistics, spatial statistics and hierarchical modeling.
Merlise Aycock Clyde is an American statistician known for her work in model averaging for Bayesian statistics. She is a professor of Statistical Science and immediate past chair of the Department of Statistical Science at Duke University. She was president of the International Society for Bayesian Analysis (ISBA) in 2013, and chair of the Section on Bayesian Statistical Science of the American Statistical Association for 2018.
Kathryn M. Roeder is an American statistician known for her development of statistical methods to uncover the genetic basis of complex disease and her contributions to mixture models, semiparametric inference, and multiple testing. Roeder holds positions as professor of statistics and professor of computational biology at Carnegie Mellon University, where she leads a project focused on discovering genes associated with autism.
Helena Chmura Kraemer is an American professor emerita of biostatistics at Stanford University. She is a fellow of the American Statistical Association.
Alexandra M. (Alex) Schmidt is a Brazilian biostatistician and epidemiologist who works as an associate professor of biostatistics at McGill University in Canada. She is known for her research on spatiotemporal and multivariate statistics and their applications in environmental statistics.
Rachel Margaret Harter is an American statistician and an expert in small area estimation and survey methodology. She works at RTI International as a senior research statistician and as director of the Behavioral Statistics Program.
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.
Alyson Gabbard Wilson 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.
Beth Charmaine Gladen is an American biostatistician who worked at the National Institute of Environmental Health Sciences, where she did pioneering research on children’s environmental health with physician Walter J. Rogan, including influential studies on the harmful effects of polychlorinated biphenyl as transmitted to children in utero and through breast milk, and on correlations between breastfeeding and infant mental development. The Rogan–Gladen estimator, a frequentist correction to observed prevalence rates to account for misclassifications based on sensitivity and specificity according to the formula
Elena Aleksandrovna Erosheva is a Russian-American statistician and social scientist whose research applies Bayesian hierarchical modeling and latent variable models to problems in the social, behavioral, and health sciences. She is a professor at the University of Washington, appointed jointly in the Department of Statistics and the School of Social Work, and the director of the university's Center for Statistics and the Social Sciences.
Hongmei Zhang is a Chinese-American biostatistician at the University of Memphis, where she is Bruns Endowed Professor in the Division of Epidemiology, Biostatistics, and Environmental Health Sciences, director of the division, program coordinator for biostatistics, and affiliated professor in the departments of mathematical sciences and biology. Her statistical interests include feature selection, biclustering, and Bayesian networks; she is also interested in the application of statistical methods to phenotype and genetic data and to epigenetics.
Antonietta Mira is an Italian computational statistician whose research involves the application of Markov chain Monte Carlo methods to Bayesian inference. She is a professor of statistics in the Faculty of Economics and Institute of Computational Science at the Università della Svizzera italiana in Lugano, Switzerland, and professor of statistics in the University of Insubria in Italy.
Emily Hohmeister Griffith is an American statistician. She is associate professor of the practice and associate department head in the Department of Statistics at North Carolina State University. Topics in her research publications have included the application of spatial statistics to animal science, the statistical analysis of women and underrepresented minorities in STEM fields, and the training of statistical consultants.
Veronika Ročková is a Bayesian statistician. Born in Czechoslovakia, and educated in the Czech Republic, Belgium, and the Netherlands, she works in the US as a professor of econometrics and statistics and James S. Kemper Faculty Scholar at the University of Chicago. Her research studies methods including variable selection, high-dimensional inference, non-convex optimization, likelihood-free inference, and the spike-and-slab LASSO, and also includes applications in biomedical statistics.
References
- 1 2 "Xinyi Xu", People, The Ohio State University Department of Statistics, retrieved 2024-04-05
- ↑ Xinyi Xu, The Ohio State University College of Arts and Sciences, retrieved 2024-04-05
- ↑ Xinyi Xu at the Mathematics Genealogy Project
- 1 2 Savage Award, International Society for Bayesian Analysis, retrieved 2024-04-05
- ↑ Congratulations to Newly Promoted and Tenured Associate Professors Elly Kaizer, Xinyi Xu and Desheng Liu, The Ohio State University Department of Statistics, September 10, 2012, retrieved 2024-04-05
- ↑ "American Statistical Association Fellows: Xinyi Xu", JSM 2022 Awards Book (PDF), American Statistical Association, p. 11, retrieved 2024-04-05
