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Stochastic Geometry, Spatial Statistics and Random Fields
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. This book has a strong focus on simulations and includes extensive code
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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