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From statistical physics to data-driven modelling : with applications to quantitative biology

By: Cocco, Simona.
Contributor(s): Monasson, Rémi | Zamponi, Francesco.
Series: Oxford.Publisher: Oxford : Oxford University Press, 2022Description: viii, 183 p. ; ill., 26 cm.ISBN: 9780198864745.Subject(s): Biology Data processing | Physics | Quantitative research | Science | Statistical physics | Time series | Markov models | Bayesian Analysis | Biotechnology | Priors regularisation sparsityDDC classification: 530.13 Summary: Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.
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Books 530.13 COC (Browse shelf) Available 034927

Includes bibliographical references and index.

Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and outlines its practical applications at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.

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