Random Fields and Geometry

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出版者:Springer 作者:R.J. Adler 出品人: 页数:472 译者: 出版时间:2007-06-12 价格:USD 69.95 装帧:Hardcover isbn号码:9780387481128 丛书系列:Springer Monographs in Mathematics
图书标签
  • 随机场
  • 几何
  • 概率论
  • 数学
  • 随机过程
  • 空间统计
  • 图像处理
  • 机器学习
  • 理论物理
  • 应用数学
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具体描述

Recasts topics in random fields by following a completely new way of handling both geometry and probability

Significant exposition of the work of others in the field

Presentation is clear and pedagogical

Excellent reference work as well as excellent work for self study

This monograph is devoted to a completely new approach to geometric problems arising in the study of random fields. The groundbreaking material in Part III, for which the background is carefully prepared in Parts I and II, is of both theoretical and practical importance, and striking in the way in which problems arising in geometry and probability are beautifully intertwined.

The three parts to the monograph are quite distinct. Part I presents a user-friendly yet comprehensive background to the general theory of Gaussian random fields, treating classical topics such as continuity and boundedness, entropy and majorizing measures, Borell and Slepian inequalities. Part II gives a quick review of geometry, both integral and Riemannian, to provide the reader with the material needed for Part III, and to give some new results and new proofs of known results along the way. Topics such as Crofton formulae, curvature measures for stratified manifolds, critical point theory, and tube formulae are covered. In fact, this is the only concise, self-contained treatment of all of the above topics, which are necessary for the study of random fields. The new approach in Part III is devoted to the geometry of excursion sets of random fields and the related Euler characteristic approach to extremal probabilities.

"Random Fields and Geometry" will be useful for probabilists and statisticians, and for theoretical and applied mathematicians who wish to learn about new relationships between geometry and probability. It will be helpful for graduate students in a classroom setting, or for self-study. Finally, this text will serve as a basic reference for all those interested in the companion volume of the applications of the theory. These applications, to appear in a forthcoming volume, will cover areas as widespread as brain imaging, physical oceanography, and astrophysics.

“Random Fields and Geometry”是一部深入探索随机场理论与几何结构之间关系的重要著作。这本书系统地介绍了如何在高维空间中分析和建模复杂的数据分布,通过结合概率论和几何方法,读者能够理解这些理论在现代科学、工程以及计算技术中的广泛应用。内容涵盖了随机场的定义与特性,相关数学工具的介绍,以及如何通过几何框架来处理不确定性问题。书中详细讲解了各种模型和算法,从基础概念到高级应用,为读者提供全面而清晰的理论背景。 该书特别注重理论与实践的结合,采用多样的案例分析,让读者能够更直观地理解抽象的数学概念。文章结构合理,通过逐步深入的章节安排,帮助读者逐步掌握随机场和几何相关知识。内容不仅针对学术背景的研究者,还考虑到了那些希望将这些理论应用于实际问题的人群。书中详细介绍了如何在不同领域中运用这种方法,从信号处理到优化算法,再到物理现象的建模。 “Random Fields and Geometry”强调数学与工程的交汇点,内容丰富且层次分明,适合从初级到高级读者阅读。这本书不仅是对相关知识体系的系统总结,更是一个通向复杂科学世界的大门,帮助读者建立更加全面的理论认知。通过深入研究和思考,这一书为理解现代数学工具与实际应用之间的桥梁提供了宝贵的资源。 整个书籍注重逻辑性和可读性,每个章节都经过精心设计,以便读者能够在阅读中不断提升自己的专业水平。这本作品不仅展示了当前领域的研究趋势,也为未来的学术探索铺平了道路。它被认为是任何希望掌握随机场与几何知识的重要参考书籍,广泛受到相关学科领域的关注和推荐。 在总结内容时,这本书强调了科学思维的培养,鼓励读者通过理解复杂的概念来解决实际问题。在技术层面,它提供了许多可行的方法论,帮助读者掌握现代数据分析与建模的核心思想。对于希望深入研究这一主题的人来说,该书无疑是一份极其有价值的参考资料。 简而言之,这本书以精准的内容和严谨的逻辑,为读者打开了探索随机场理论与几何应用的大门,帮助他们在众多学科中找到合适的工具和思路,提升整体学术素养。这是一份不仅具备理论深度,而且富有实践指导意义的重要著作。

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