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 then used for the processing of real-life data using Matlab.

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Product details

ISBN
9783110496352
Published
2018-12-17
Publisher
De Gruyter
Weight
753 gr
Height
240 mm
Width
170 mm
Age
U, 05
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
395

Biographical note

Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.