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The information on the author is retrieved from: Entity Facts (by DNB = German National Library data service), DBPedia and Wikidata

Trevor Hastie


Dr.

Alternative spellings:
Trevor J. Hastie
T. J. Hastie
T. Hastie

B: 1953
Biblio: Professor in Statistics and Biostatistics ; Tätigkeitsschwerpunkte: Maschinelles Lernen, Data-Mining, Bioinformatik
Place of Activity: Palo Alto, Calif.
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Profession

  • Mathematiker
  • Statistiker
  • Informatiker
  • Hochschullehrer
  • Affiliations

  • Stanford University. Department of Statistics
  • External links

  • Gemeinsame Normdatei (GND) im Katalog der Deutschen Nationalbibliothek
  • Open Researcher and Contributor ID (ORCID)
  • Wikipedia (English)
  • Deutsche Digitale Bibliothek
  • NACO Authority File
  • Virtual International Authority File (VIAF)
  • Wikidata
  • International Standard Name Identifier (ISNI)

  • Official Website logo Official Website

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    ORCID logo ORCID

    Trevor John Hastie (born 27 June 1953) is an American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Hastie has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge. (Source: DBPedia)

    Publishing years

    1
      2023
    1
      2021
    1
      2016
    1
      2006
    1
      2004
    1
      1991

    Series

    1. Working papers / Universitat Pompeu Fabra, Department of Economics and Business (1)
    2. Institute of Mathematical Statistics monographs (1)
    3. Monographs on statistics and applied probability (1)