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Karaca, Yeliz / Cattani, Carlo

Computational Methods for Data Analysis

Series:De Gruyter TextbookDe Gruyter STEM

    700,00 € / $805.99 / £636.50*

    eBook (EPUB)
    Publication Date:
    December 2018
    ISBN
    978-3-11-049360-3
    See all formats and pricing
    eBook (PDF)
    ISBN 978-3-11-049636-9
    Institutional Price (Campus-wide license)
    € [D] 700.00 / US$ 805.99 / GBP 636.50*
    Individual purchase options
    eBook (EPUB)
    ISBN 978-3-11-049360-3
    Institutional Price (Campus-wide license)
    € [D] 700.00 / US$ 805.99 / GBP 636.50*
    Individual purchase options
    Paperback
    ISBN 978-3-11-049635-2
    RRP
    € [D] 69.95 / US$ 80.99 / GBP 63.50*
    *Prices in US$ apply to orders placed in the Americas only. Prices in GBP apply to orders placed in Great Britain only. Prices in € represent the retail prices valid in Germany (unless otherwise indicated). Prices are subject to change without notice. Prices do not include postage and handling if applicable. Free shipping for non-business customers when ordering books at De Gruyter Online. Please find details to our shipping fees here. RRP: Recommended Retail Price.

    Overview

    • Introduces mathematical and statistical methods for data analysis, with applications to biology, medicine and economics
    • Combines theory and applications in the processing of real-life data
    • Algorithms and examples using Matlab are included

    Aims and Scope

    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.

    Details

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

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