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Record Nr. |
UNINA9910144634103321 |
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Autore |
Capasso Vincenzo |
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Titolo |
Topics in Spatial Stochastic Processes : Lectures given at the C.I.M.E. Summer School held in Martina Franca, Italy, July 1-8, 2001 / / by Vincenzo Capasso, Ely Merzbach, B. Gail Ivanoff, Marco Dozzi, Robert Dalang, Thomas Mountford ; edited by Ely Merzbach |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
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ISBN |
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Edizione |
[1st ed. 2003.] |
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Descrizione fisica |
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1 online resource (X, 258 p.) |
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Collana |
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C.I.M.E. Foundation Subseries ; ; 1802 |
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Disciplina |
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Soggetti |
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Probabilities |
Probability Theory and Stochastic Processes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Preface -- 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. |
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Sommario/riassunto |
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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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