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001 978-3-540-36259-3
003 DE-He213
005 20190213151608.0
007 cr nn 008mamaa
008 121227s2003 gw | s |||| 0|eng d
020 _a9783540362593
_9978-3-540-36259-3
024 7 _a10.1007/b10143
_2doi
050 4 _aQA273.A1-274.9
050 4 _aQA274-274.9
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
072 7 _aPBWL
_2thema
082 0 4 _a519.2
_223
100 1 _aCapasso, Vincenzo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aTopics in Spatial Stochastic Processes
_h[electronic resource] :
_bLectures given at the C.I.M.E. Summer School held in Martina Franca, Italy, July 1-8, 2001 /
_cby Vincenzo Capasso, Ely Merzbach, B. Gail Ivanoff, Marco Dozzi, Robert C. Dalang, Thomas S. Mountford.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2003.
300 _aX, 258 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aC.I.M.E. Foundation Subseries ;
_v1802
505 0 _aPreface -- Capasso V., Micheletti A.: Stochastic Geometry of Spatially Structured Birth and Growth Processes. Application to Crystallization Processes -- Merzbach, E.: An Introduction to the General Theory of Set-Indexed Martingales -- Ivanoff, B.G.: Set-Indexed Processes: Distributions and Weak Convergence -- Dozzi, M.: Occupation Density and Sample Path Properties of N-Parameter Processes -- Dalang, R.C.: Level Sets and Excursions of the Brownian Sheet -- Mountford, T.S.: Critical Reversible Attractive Nearest Particle Systems.
520 _aThe theory of stochastic processes indexed by a partially ordered set has been the subject of much research over the past twenty years. The objective of this CIME International Summer School was to bring to a large audience of young probabilists the general theory of spatial processes, including the theory of set-indexed martingales and to present the different branches of applications of this theory, including stochastic geometry, spatial statistics, empirical processes, spatial estimators and survival analysis. This theory has a broad variety of applications in environmental sciences, social sciences, structure of material and image analysis. In this volume, the reader will find different approaches which foster the development of tools to modelling the spatial aspects of stochastic problems.
650 0 _aDistribution (Probability theory.
650 1 4 _aProbability Theory and Stochastic Processes.
_0http://scigraph.springernature.com/things/product-market-codes/M27004
700 1 _aMerzbach, Ely.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aIvanoff, B. Gail.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aDozzi, Marco.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aDalang, Robert C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aMountford, Thomas S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540002956
776 0 8 _iPrinted edition:
_z9783662181065
830 0 _aC.I.M.E. Foundation Subseries ;
_v1802
856 4 0 _uhttps://doi.org/10.1007/b10143
912 _aZDB-2-SMA
912 _aZDB-2-LNM
912 _aZDB-2-BAE
999 _c11225
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