Computationally Intensive Techniques

Wolfgang Karl Härdle, Leopold Simar and Matthias Fengler
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Wolfgang Karl Härdle: Humboldt-Universität zu Berlin, Ladislaus von Bortkiewicz Chair of Statistics

Chapter Chapter 20 in Applied Multivariate Statistical Analysis, 2024, pp 501-555 from Springer

Abstract: Abstract It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This exposure to computational methods is of an essential nature when we consider extremely high-dimensional data. Computer-aided techniques can help us discover dependencies in high dimensions without complicated mathematical tools. A draftman’s plot (i.e., a matrix of pairwise scatterplots like in Fig. 1.14 ) may lead us immediately to a theoretical hypothesis (on a lower-dimensional space) on the relationship of the variables. Computer-aided techniques are therefore at the heart of multivariate statistical analysis.

Date: 2024
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Chapter: Computationally Intensive Techniques (2019)
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DOI: 10.1007/978-3-031-63833-6_20

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