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The elements of statistical learning: Data mining, inference, and prediction

Franklin, James·2005·The Mathematical Intelligencer

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Authors: Franklin, J.
Affiliations: UNSW Sydney (AU)
Corresponding author: Franklin, James
ORCID: Franklin, James
Venue: The Mathematical Intelligencer
Publisher: Springer Science and Business Media LLC
Published: 2005-03
Volume: 27
Issue: 2
Pages: 83-85
ISSN: 0343-6993 (ISSN-L)
DOI: 10.1007/bf02985802
OpenAlex: W3215186461
Cited by: 1,400
References: 0
Citations by year: 2026: 104 · 2025: 126 · 2024: 58 · 2023: 74 · 2022: 100 · 2021: 101 · 2020: 194 · 2019: 92 · 2018: 60 · 2017: 79 · 2016: 137 · 2015: 72 · 2014: 54 · 2013: 42 · 2012: 21
Type: book review
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: The Mathematical Intelligencer (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
Keywords: statistical learning, data mining, statistical inference, prediction

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