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The 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.
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Previews available in: English
Subjects
Congresses, Gaussian processes, Martingales (Mathematics), Partially ordered sets, Stochastics, Science/Mathematics, Mathematics, General, Geometry - General, Probability & Statistics - General, 60G15, 60G17, 60G35, 60G48, 60G60, Brownian sheet, Mathematics / Statistics, Set-indexed martingales, nearest-particle system, spatial statistics, stochastic geometry, Distribution (Probability theory)Edition | Availability |
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Topics in Spatial Stochastic Processes: Lectures Given at the C. I. M. E. Summer School Held in Martina Franca, Italy, July 1-8 2001
2003, Springer
in English
3540362592 9783540362593
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2
Topics in Spatial Stochastic Processes: Lectures given at the C.I.M.E. Summer School held in Martina Franca, Italy, July 1-8, 2001 (Lecture Notes in Mathematics / Fondazione C.I.M.E., Firenze)
March 10, 2003, Springer
Paperback
in English
- 1 edition
3540002952 9783540002956
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aaaa
Libraries near you:
WorldCat
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3
Topics in spatial stochastic processes: lectures given at the C.I.M.E. summer school held in Martina Franca, Italy, July 1-8, 2001
2003, Springer
in English
3540002952 9783540002956
|
zzzz
Libraries near you:
WorldCat
|
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"Birth-and-growth processes provide a large class of mathematical models for many phase change phenomena."
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