Computationally Intensive Techniques

Wolfgang Karl Härdle () and Leopold Simar
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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, 2019, pp 487-539 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 to discover dependencies in high dimensions without complicated mathematical tools.

Date: 2019
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Chapter: Computationally Intensive Techniques (2024)
Chapter: Computationally Intensive Techniques (2015)
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DOI: 10.1007/978-3-030-26006-4_20

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