中图分类法:	O414.2 版次：
著者:	Abarbanel, H. D. I.,
题名:	The statistical physics of data assimilation and machine learning / / ,
出版发行:	出版地： Cambridge ; 出版社： Cambridge University Press, 出版日期： 2022.
载体形态:	xvii, 187 pages : illustrations ; 24 cm
内容提要:	"Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics"--
主题词:	Statistical physics Data processing.
主题词:	Stochastic processes.
主题词:	Supervised learning (Machine learning) Mathematical models.
主题词:	Discrete-time systems.