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＜電子ブック＞
Stochastic Geometry : Modern Research Frontiers / edited by David Coupier
(Lecture Notes in Mathematics. ISSN:16179692 ; 2237)

版	1st ed. 2019.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2019
本文言語	英語
大きさ	XIII, 232 p. 71 illus., 27 illus. in color : online resource
著者標目	Coupier, David editor SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Statistics  LCSH:Image processing -- Digital techniques  全ての件名で検索 LCSH:Computer vision LCSH:Mathematical physics FREE:Probability Theory FREE:Statistical Theory and Methods FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Mathematical Physics
一般注記	This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes. Exposing readers to a rich theory,this book will encourage further exploration of the subject and its wide applications. HTTP:URL=https://doi.org/10.1007/978-3-030-13547-8

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