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OverviewThis 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. Full Product DetailsAuthor: Yeliz Karaca , Carlo CattaniPublisher: De Gruyter Imprint: De Gruyter Dimensions: Width: 17.00cm , Height: 2.10cm , Length: 24.00cm Weight: 0.753kg ISBN: 9783110496352ISBN 10: 3110496356 Pages: 395 Publication Date: 17 December 2018 Audience: College/higher education , Tertiary & Higher Education , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationYeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy. Tab Content 6Author Website:Countries AvailableAll regions |