Lester Mackey
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Lester Mackey
Lester Mackey is an American computer scientist and statistician. He is a principal researcher at Microsoft Research and an adjunct professor at Stanford University. Mackey develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. He was named a 2023 MacArthur Fellow. Early life and education Mackey grew up on Long Island. He has said that, as a teenager, the Ross Mathematics Program in number theory introduced him to proof-based mathematics, where he learned about induction and rigorous proof. He got his first taste of academic research at the Research Science Institute. He joined Princeton University as an undergraduate student, where he earned his BSE in Computer Science. There he conducted research with Maria Klawe and David Walker. Mackey was a graduate student at the University of California, Berkeley, where he earned a PhD in Computer Science (2012) and an MA in ...
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Long Island
Long Island is a densely populated continental island in southeastern New York (state), New York state, extending into the Atlantic Ocean. It constitutes a significant share of the New York metropolitan area in both population and land area. The island extends from New York Harbor eastward into the ocean with a maximum north–south width of . With a land area of , it is the List of islands of the United States by area, largest island in the contiguous United States. Long Island is divided among four List of counties in New York, counties, with Brooklyn, Kings (Brooklyn), Queens, and Nassau County, New York, Nassau counties occupying its western third and Suffolk County, New York, Suffolk County its eastern two-thirds. It is an ongoing topic of debate whether or not Brooklyn and Queens are considered part of Long Island. Geographically, both Kings and Queens county are located on the Island, but some argue they are culturally separate from Long Island. Long Island may ref ...
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Bayesian Inference
Bayesian inference ( or ) is a method of statistical inference in which Bayes' theorem is used to calculate a probability of a hypothesis, given prior evidence, and update it as more information becomes available. Fundamentally, Bayesian inference uses a prior distribution to estimate posterior probabilities. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law. In the philosophy of decision theory, Bayesian inference is closely related to subjective probability, often called "Bayesian probability". Introduction to Bayes' rule Formal explanation Bayesian inference derives the posterior probability as a consequence of two antecedents: a prior probability and a "likelihood function" derive ...
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American Statistical Association
The American Statistical Association (ASA) is the main professional organization for statisticians and related professionals in the United States. It was founded in Boston, Massachusetts, on November 27, 1839, and is the second-oldest continuously operating professional society in the U.S. behind the Massachusetts Medical Society (founded in 1781). ASA services statisticians, quantitative scientists, and users of statistics across many academic areas and applications. The association publishes a variety of journals and sponsors several international conferences every year. Mission The organization's mission is to promote good application of statistical science, specifically to: * support excellence in statistical practice, research, journals, and meetings * work for the improvement of statistical education at all levels * promote the proper application of statistics * anticipate and meet member needs * use the discipline of statistics to enhance human welfare * seek opportunities ...
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List Of Fellows Of The American Statistical Association
Like many other academic professional societies, the American Statistical Association (ASA) uses the title of Fellow of the American Statistical Association as its highest honorary grade of membership. The designation of ASA Fellow has been a significant honor for nearly 100 years. The number of new fellows per year is limited to one third of one percent of the membership of the ASA. To be selected, nominees must have an established reputation and have made outstanding contributions to statistical science. People named as Fellows are listed below. Fellows 1914 * John Lee Coulter * Miles Menander Dawson * Frank H. Dixon * David Parks Fackler * Henry Walcott Farnam * Charles Ferris Gettemy * Franklin Henry Giddings * Henry J. Harris * Edward M. Hartwell * Joseph A. Hill * George K. Holmes * William Chamberlin Hunt * John Koren * Thomas Bassett Macaulay * S. N. D. North * Warren M. Persons * Edward B. Phelps * LeGrand Powers * William Sidney Rossiter * Charles H. Verrill * C ...
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