Roderick J. A. Little is a well-known statistician, widely recognized for his contributions to the fields of statistical methodology and the analysis of missing data. He has made significant advancements in developing statistical techniques for handling incomplete data, especially in the context of surveys and experiments. Little has authored numerous research papers and has co-authored influential books on topics related to survey sampling, missing data, and causal inference.
Samuel Kotz is a prominent statistician known for his contributions to the field of statistics, particularly in the areas of probability distributions, statistical theory, and statistical methodology. He has authored or co-authored numerous research papers and books, often focusing on topics such as nonparametric statistics and statistical distributions. Kotz is also recognized for his work in developing and characterizing various probability distributions.
Samuel S. Wilks (1906-1992) was an American statistician known for his significant contributions to the field of statistics. He is most notably recognized for developing the Wilks Lambda statistic, which is used in multivariate analysis, particularly in the context of hypothesis testing and evaluating the significance of group differences. Wilks held academic positions at several institutions and was influential in the development of statistical theory and methods.
Sara van de Geer is a prominent figure in the field of statistics, particularly known for her work in statistical science, including areas like high-dimensional statistics and statistical methodology. She has made significant contributions to both theoretical and applied statistics. Van de Geer has also been involved in academia, often holding positions at universities where she educates and mentors students in statistical sciences.
Sofia Olhede is a prominent statistician and academic known for her contributions to the fields of statistical science and data analysis. She has worked on various topics including statistical theory, data science, and the development of novel statistical methodologies. Olhede has published extensively in high-impact journals and has been involved in research that often intersects with areas such as machine learning and signal processing.
As of my last knowledge update in October 2021, Sonja Petrović is a notable statistician known for her contributions to the field of statistics and her work in various applications of statistical methodology. However, detailed information about her specific contributions, institutional affiliations, and achievements may not be widely available or may have developed after my last update.
Steffen Lauritzen is a prominent statistician known for his work in the fields of Bayesian statistics, graphical models, and statistical inference. He has contributed significantly to the development of methods for analyzing complex data structures, particularly through the use of graphical representations. His research often intersects with topics in probability theory and computational statistics. Lauritzen has also authored influential publications and textbooks in the domain of statistical theory and applications, making substantial contributions to the understanding of how to model and infer relationships in multivariate data.
Stephen Fienberg was a prominent statistician and professor known for his significant contributions to statistical methodology and its application in various fields, including social science, public policy, and health. He was a professor at Carnegie Mellon University and was particularly noted for his work on statistical models, survey methodology, and the analysis of categorical data. Fienberg was also involved in discussions around ethical issues in statistics and data privacy.
Sudipto Banerjee may refer to various individuals, as it's a relatively common name. One notable Sudipto Banerjee is an academic and researcher known for contributions in the fields of engineering and technology, particularly in relation to data science, machine learning, and operations research.
Sylvia Richardson is a prominent statistician known for her contributions to the fields of biostatistics and statistical genetics. She is particularly recognized for her work on Bayesian statistics and her development of statistical methods used in the analysis of complex data, including applications in epidemiology and genomics.
T. Tony Cai is a prominent statistician known for his work in areas such as statistical inference, high-dimensional statistics, and data science. He has made significant contributions to various fields, including machine learning and computational statistics. Cai has held academic positions at institutions such as the University of Pennsylvania and the University of Southern California, where he has been involved in research and teaching.
Theodore Wilbur Anderson does not appear to be a widely recognized figure in public records, literature, or notable history as of my last knowledge update in October 2023. It is possible that he could be a private individual, a lesser-known artist, scientist, or another type of professional.
Trevor Hastie is a prominent statistician and professor known for his work in the fields of statistics and machine learning. He is a professor at Stanford University and has made significant contributions to various areas, including statistical learning, data mining, and bioinformatics. Hastie is particularly well-known for co-authoring the influential book "The Elements of Statistical Learning," along with Robert Tibshirani and Jerome Friedman.
Udny Yule (1871–1951) was a Scottish statistician and a notable figure in the field of statistics, particularly known for his work in time series analysis and the development of statistical models. One of his key contributions is the formulation of the Yule process, which relates to autoregressive models and the study of properties of sequences of random variables. He also worked on issues related to correlation, regression, and other statistical techniques.
Victor Panaretos is a scholar known for his contributions to the fields of statistics and data science. He has worked on various topics, including statistical inference, time series analysis, and machine learning. His research often focuses on theoretical aspects of statistics, as well as practical applications in real-world scenarios.
Vladimir Vovk is a notable figure in the field of mathematics, particularly known for his work in the area of mathematical logic and the foundations of mathematics. He has contributed to various topics, including model theory and set theory. His work often focuses on the intersection of logic, mathematics, and their philosophical implications.
William Kruskal was a prominent American statistician known for his contributions to statistical theory and methodology. He played a significant role in developing non-parametric statistics, particularly through the Kruskal-Wallis test, which is used for comparing three or more independent samples. Kruskal was also involved in other areas of statistics, including multivariate analysis and the analysis of variance. His work has had a considerable impact on the field, and he has been recognized for his contributions throughout his career.
Xuming He is a prominent figure in the field of statistics and biostatistics, known for his work on statistical theory and applications. He has made significant contributions to areas such as nonparametric statistics, missing data, and Bayesian methods, among others. His research often intersects with practical applications in various fields, including medicine and public health.
Yadolah Dodge is a notable Iranian-American economist, professor, and researcher, recognized for his contributions to the fields of economic development, international economics, and agriculture. His work often focuses on economic policies, development strategies, and the impacts of globalization on developing economies. In addition to his academic pursuits, he has also been involved in policy-making and consulting, particularly concerning agricultural and economic issues in Iran and other countries.
Yoav Benjamini is an Israeli statistician known for his contributions to the fields of statistics and data analysis, particularly in the areas of multiple testing and statistical inference. He has co-authored influential papers and has developed methods that are widely used in various applications, including biomedical research. One of his notable contributions is the Benjamini-Hochberg procedure, which is a method for controlling the false discovery rate in multiple hypothesis testing.