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  2. 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.

  3. Robert Tibshirani - Wikipedia

    en.wikipedia.org/wiki/Robert_Tibshirani

    Tibshirani was made the 2012 Statistical Society of Canada's Gold Medalist at their yearly meeting in Guelph, Ontario for "exceptional contributions to methodology and theory for the analysis of complex data sets, smoothing and regression methodology, statistical learning, and classification, and application areas that include public health ...

  4. Daniela Witten - Wikipedia

    en.wikipedia.org/wiki/Daniela_Witten

    She was awarded the American Statistical Association David P. Byar Young Investigator Award for her work Penalized Classification Using Fisher’s Linear Discriminant in 2011. [22] Her book An Introduction to Statistical Learning won a Technometrics Ziegel Award in 2014. [23] She won an Elle magazine Genius Award in 2012. [24]

  5. Statistics education - Wikipedia

    en.wikipedia.org/wiki/Statistics_education

    Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research.. Statistics is both a formal science and a practical theory of scientific inquiry, and both aspects are considered in statistics education.

  6. Template : Hastie Tibshirani Friedman The Elements of ...

    en.wikipedia.org/wiki/Template:Hastie_Tibshirani...

    The Elements of Statistical Learning: Data Mining, Inference, and Prediction (pdf). Graduate Texts in Statistics (2nd ed.). New York: Springer-Verlag. ISBN 978-0-387-84857-0. OCLC 405547558. Archived from the original on 20 November 2020

  7. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    Decision tree learning is a method commonly used in data mining. [3] The goal is to create a model that predicts the value of a target variable based on several input variables. A decision tree is a simple representation for classifying examples.

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  9. List of important publications in statistics - Wikipedia

    en.wikipedia.org/wiki/List_of_important...

    Introduction to statistical decision theory. Author: John W. Pratt, Howard Raiffa, and Robert Schlaifer Publication data: preliminary edition, 1965. Cambridge, Mass.: MIT Press, 1995. Description: Extensive exposition of statistical decision theory, statistics, and decision analysis from a Bayesian standpoint. Many examples and problems come ...

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