000			02111nam a22002897a 4500
003			OSt
005			20250226163101.0
008			250226b |||||||| |||| 00| 0 hin d
020			_a9783030135461
040			_aNISER LIBRARY _beng _cNISER LIBRARY
082			_a519.216 _bCOU-S
245			_aStochastic geometry : _bmodern research frontiers
260			_aCham, Switzerland : _bSpringer, _c2019.
300			_axiii, 229 pages : _billustrations (44 b/w illustrations, 27 illustrations in colour)
490			_aLecture notes in mathematics, _x0075-8434 _v2237
504			_aIncludes bibliographical references
520			_aThis 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.
650			_aStochastic geometry
650			_aConvex geometry
650			_aRandom graphs
650			_aStochastic processes
650			_aSpatial statistics
700			_aCoupier, David _eeditor
856			_3Table of content _uhttps://link.springer.com/content/pdf/bfm:978-3-030-13547-8/1
856			_3Reviews _uhttps://www.goodreads.com/book/show/43667677-stochastic-geometry#CommunityReviews
942			_2udc _cBK
999			_c35784 _d35784