Stochastic Geometric Analysis With Applications

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Publisher : World Scientific
ISBN 13 : 981128329X
Total Pages : 557 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Stochastic Geometric Analysis With Applications by : Ovidiu Calin

Download or read book Stochastic Geometric Analysis With Applications written by Ovidiu Calin and published by World Scientific. This book was released on 2023-11-21 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differential Equations (PDEs). It aims to investigate the influence of geometry on diffusions induced by underlying structures, such as Riemannian or sub-Riemannian geometries, and examine the implications for solving problems in PDEs, mathematical finance, and related fields. The book aims to unify the relationships between PDEs, nonholonomic geometry, and stochastic processes, focusing on a specific condition shared by these areas known as the bracket-generating condition or Hörmander's condition. The main objectives of the book are:The intended audience for this book includes researchers and practitioners in mathematics, physics, and engineering, who are interested in stochastic techniques applied to geometry and PDEs, as well as their applications in mathematical finance and electrical circuits.

Stochastic and Integral Geometry

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 354078859X
Total Pages : 692 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Stochastic and Integral Geometry by : Rolf Schneider

Download or read book Stochastic and Integral Geometry written by Rolf Schneider and published by Springer Science & Business Media. This book was released on 2008-09-08 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic geometry deals with models for random geometric structures. Its early beginnings are found in playful geometric probability questions, and it has vigorously developed during recent decades, when an increasing number of real-world applications in various sciences required solid mathematical foundations. Integral geometry studies geometric mean values with respect to invariant measures and is, therefore, the appropriate tool for the investigation of random geometric structures that exhibit invariance under translations or motions. Stochastic and Integral Geometry provides the mathematically oriented reader with a rigorous and detailed introduction to the basic stationary models used in stochastic geometry – random sets, point processes, random mosaics – and to the integral geometry that is needed for their investigation. The interplay between both disciplines is demonstrated by various fundamental results. A chapter on selected problems about geometric probabilities and an outlook to non-stationary models are included, and much additional information is given in the section notes.

Stochastic Geometry

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Publisher : Routledge
ISBN 13 : 1351413724
Total Pages : 419 pages
Book Rating : 4.25/5 ( download)

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Book Synopsis Stochastic Geometry by : Wilfrid S. Kendall

Download or read book Stochastic Geometry written by Wilfrid S. Kendall and published by Routledge. This book was released on 2019-06-10 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themes o considerations of geometric sampling bias issues o tesselations o shape o random sets o image analysis o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo

Stochastic Geometry

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Publisher : Springer
ISBN 13 : 3030135470
Total Pages : 232 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Stochastic Geometry by : David Coupier

Download or read book Stochastic Geometry written by David Coupier and published by Springer. This book was released on 2019-04-09 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Stochastic Analysis for Poisson Point Processes

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Publisher : Springer
ISBN 13 : 3319052330
Total Pages : 346 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Stochastic Analysis for Poisson Point Processes by : Giovanni Peccati

Download or read book Stochastic Analysis for Poisson Point Processes written by Giovanni Peccati and published by Springer. This book was released on 2016-07-07 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic geometry is the branch of mathematics that studies geometric structures associated with random configurations, such as random graphs, tilings and mosaics. Due to its close ties with stereology and spatial statistics, the results in this area are relevant for a large number of important applications, e.g. to the mathematical modeling and statistical analysis of telecommunication networks, geostatistics and image analysis. In recent years – due mainly to the impetus of the authors and their collaborators – a powerful connection has been established between stochastic geometry and the Malliavin calculus of variations, which is a collection of probabilistic techniques based on the properties of infinite-dimensional differential operators. This has led in particular to the discovery of a large number of new quantitative limit theorems for high-dimensional geometric objects. This unique book presents an organic collection of authoritative surveys written by the principal actors in this rapidly evolving field, offering a rigorous yet lively presentation of its many facets.

Stochastic Geometry and Its Applications

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3112719174
Total Pages : 348 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Stochastic Geometry and Its Applications by : Dietrich Stoyan

Download or read book Stochastic Geometry and Its Applications written by Dietrich Stoyan and published by Walter de Gruyter GmbH & Co KG. This book was released on 1987-12-31 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: No detailed description available for "Stochastic Geometry and Its Applications".

Stochastic and Integral Geometry

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Publisher : Springer Science & Business Media
ISBN 13 : 9400939213
Total Pages : 135 pages
Book Rating : 4.19/5 ( download)

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Book Synopsis Stochastic and Integral Geometry by : R.V. Ambartzumian

Download or read book Stochastic and Integral Geometry written by R.V. Ambartzumian and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Stochastic Analysis and Applications

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Author :
Publisher : CRC Press
ISBN 13 : 9780824706609
Total Pages : 800 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Handbook of Stochastic Analysis and Applications by : D. Kannan

Download or read book Handbook of Stochastic Analysis and Applications written by D. Kannan and published by CRC Press. This book was released on 2001-10-23 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to general theories of stochastic processes and modern martingale theory. The volume focuses on consistency, stability and contractivity under geometric invariance in numerical analysis, and discusses problems related to implementation, simulation, variable step size algorithms, and random number generation.

Stochastic Geometry for Image Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1118601130
Total Pages : 215 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Stochastic Geometry for Image Analysis by : Xavier Descombes

Download or read book Stochastic Geometry for Image Analysis written by Xavier Descombes and published by John Wiley & Sons. This book was released on 2013-05-06 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for estimating parameters are reviewed. Numerous applications, covering remote sensing images, biological and medical imaging, are detailed. This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling.

Stochastic Geometry

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Publisher : Springer Science & Business Media
ISBN 13 : 1402081022
Total Pages : 231 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Stochastic Geometry by : Viktor Benes

Download or read book Stochastic Geometry written by Viktor Benes and published by Springer Science & Business Media. This book was released on 2004-07-20 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reader can learn about current developments in stochastic geometry with mathematical rigor on one hand, and find applications to real microstructure analysis in natural and material sciences on the other hand." "Audience: This volume is suitable for scientists in mathematics, statistics, natural sciences, physics, engineering (materials), microscopy and image analysis, as well as postgraduate students in probability and statistics."--Jacket.