From Statistical Physics to Data-Driven Modelling : with Applications to Quantitative Biology - Francesco Zamponi

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From Statistical Physics to Data-Driven Modelling

with Applications to Quantitative Biology

By: Francesco Zamponi, Simona Cocco, Remi Monasson

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Hardcover | 9 September 2022 | Edition Number 1

At a Glance

Hardcover
192 Pages

Dimensions(cm)
17.6 x 25.2 x 1.8

Hardcover

$175.75

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The study of most scientific fields now relies on an ever-increasing amount of data, due to instrumental and experimental progress in monitoring and manipulating complex systems made of many microscopic constituents. How can we make sense of such data, and use them to enhance our understanding of biological, physical, and chemical systems?

Aimed at graduate students in physics, applied mathematics, and computational biology, the primary objective of this textbook is to introduce the concepts and methods necessary to answer this question at the intersection of probability theory, statistics, optimisation, statistical physics, inference, and machine learning.

The second objective of this book is to provide practical applications for these methods, which will allow students to assimilate the underlying ideas and techniques. While readers of this textbook will need basic knowledge in programming (Python or an equivalent language), the main emphasis is not on mathematical rigour, but on the development of intuition and the deep connections with statistical physics.

Industry Reviews

This book addresses crucially important questions and delivers a unique outlook on a timely topic. * Guido Caldarelli, Ca' Foscari University of Venice *
Modern post-genome biology and medicine are in the middle of a quantitative revolution and this unique and timely book by three experienced researchers will be indispensable to anyone studying or interested in the topic. * A.C.C. Coolen, Radboud University, Nijmegen *
This is a much-needed text on an extremely relevant topic, written by three authors with considerable experience and expertise. * Massimo Vergassola, Ecole Normale Superieure, Paris *

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