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Stochastic Geometry, Spatial Statistics and Random Fields : Models and Algorithms - Volker Schmidt

Stochastic Geometry, Spatial Statistics and Random Fields

Models and Algorithms

By: Volker Schmidt

eText | 24 October 2014

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This volume is an attempt to provide a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, with special emphasis placed on fundamental classes of models and algorithms as well as on their applications, e.g. in materials science, biology and genetics. This book has a strong focus on simulations and includes extensive codes in Matlab and R which are widely used in the mathematical community. It can be seen as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other issues of stochastic geometry, spatial statistics and random fields were considered with a focus on asymptotic methods.
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Non-FictionMathematicsProbability & StatisticsApplied MathematicsComputing & I.T.Computer Programming & Software DevelopmentAlgorithms & Data StructuresGeometry

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