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  2. Daniela Witten - Wikipedia

    en.wikipedia.org/wiki/Daniela_Witten

    She was elected as a Fellow of the American Statistical Association in 2020. [19] She was named to the 2022 class of Fellows of the Institute of Mathematical Statistics, for "substantial contributions to the field of statistical machine learning, with applications to biology; and for communicating the fundamental ideas in the field to a broad audience".

  3. Thomas M. Cover - Wikipedia

    en.wikipedia.org/wiki/Thomas_M._Cover

    Thomas M. Cover [ˈkoʊvər] (August 7, 1938 – March 26, 2012) was an American information theorist and professor jointly in the Departments of Electrical Engineering and Statistics at Stanford University. He devoted almost his entire career to developing the relationship between information theory and statistics.

  4. Statistical learning theory - Wikipedia

    en.wikipedia.org/wiki/Statistical_learning_theory

    Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [ 1 ] [ 2 ] [ 3 ] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data.

  5. Trevor Hastie - Wikipedia

    en.wikipedia.org/wiki/Trevor_Hastie

    He joined Stanford University in 1994 as Associate Professor in Statistics and Biostatistics. He was promoted to full Professor in 1999. During the period 2006–2009, he was the chair of the Department of Statistics at Stanford University. In 2013 he was named the John A. Overdeck Professor of Mathematical Sciences.

  6. Statistics education - Wikipedia

    en.wikipedia.org/wiki/Statistics_education

    Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Stanford professor David Donoho writes that data science is not distinguished from statistics by the size of datasets or use of computing and that many graduate programs misleadingly advertise their analytics and statistics training as the essence of a data-science program. He describes data science as an applied field growing out of ...

  8. Stephen P. Boyd - Wikipedia

    en.wikipedia.org/wiki/Stephen_P._Boyd

    Stephen P. Boyd is an American professor and control theorist. He is the Samsung Professor of Engineering, Professor in Electrical Engineering, and professor by courtesy in Computer Science and Management Science & Engineering at Stanford University.

  9. George Dantzig - Wikipedia

    en.wikipedia.org/wiki/George_Dantzig

    In statistics, Dantzig solved two open problems in statistical theory, which he had mistaken for homework after arriving late to a lecture by Jerzy Neyman. [2] At his death, Dantzig was the professor emeritus of Transportation Sciences and Professor of Operations Research and of Computer Science at Stanford University.

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