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From Statistical Physics to Data-Driven Modelling With Applications to Quantitative Biology
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | From Statistical Physics to Data-Driven Modelling : With Applications to Quantitative Biology/ Simona Cocco, Re?mi Monasson, Francesco Zamponi. |
| 개인저자 | Cocco, Simona,author. Monasson, Re?mi,author, Zamponi, Francesco,1979- author, |
| 형태사항 | 1 online resource. |
| 기타형태 저록 | Print version: Cocco, Simona From Statistical Physics to Data-Driven Modelling Oxford : Oxford University Press, Incorporated,c2022 9780198864745 |
| ISBN | 9780192633729 0192633724 9780191896781 0191896780 |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | 1 Introduction to Bayesian inference -- 2 Asymptotic inference and information -- 3 High-dimensional inference: searching for principal components -- 4 Priors, regularisation, sparsity -- 5 Graphical models: from network reconstruction to Boltzmann machines -- 6 Unsupervised learning: from representations to generative models -- 7 Supervised learning: classification with neural networks -- 8 Time series: from Markov models to hidden Markov models |
| 요약 | 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. |
| 일반주제명 | Statistical physics. Biology --Data processing. Quantitative research. Biology --Data processing. Quantitative research. Statistical physics. |
| 언어 | 영어 |
| 바로가기 |  |
