Computational methods for data analysis / Yeliz Karaca, Carlo Cattani.

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This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are th...

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Bibliographic Details
Uniform Title:De Gruyter STEM.
Main Authors: Karaca, Yeliz (Author)
Cattani, Carlo, 1954- (Author)
Language:English
Published: Berlin ; Boston : De Gruyter, 2019.
Series:De Gruyter STEM.
Subjects:
Statistics > Data processing.
Mathematical statistics.
Probabilities.
Physical Description:xii, 383 pages : illustrations (some color) ; 24 cm.
Format: Book
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