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From Statistical Physics to Data-Driven Modelling
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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.
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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.
Produktdetaljer
Sprog: Engelsk
Sider: 192
ISBN-13: 9780198864745
Indbinding: Hardback
Udgave:
ISBN-10: 0198864744
Udg. Dato: 9 sep 2022
Længde: 18mm
Bredde: 176mm
Højde: 252mm
Oplagsdato: 9 sep 2022
Forfatter(e) Remi (Director of Research Monasson, Simona (Director of Research Cocco, Francesco (Researcher Zamponi, Remi Monasson, Francesco Zamponi, Simona Cocco


Kategori Bayesiansk statistik


Sprog Engelsk


Indbinding Hardback


Sider 192


Udgave


Længde 18mm


Bredde 176mm


Højde 252mm

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