LEADER 02888nmm a22003975i 4500 001 991002944349707536 007 cr cn ---mpcbr 008 160712s2015 sz | o j |||| 0|eng d 020 $a9783319100647 024 7 $a10.1007/978-3-319-10064-7$2doi 035 $ab14258109-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng 082 04$a519.2$223 084 $aAMS 60-06 084 $aAMS 60D05 084 $aAMS 60G60 084 $aAMS 62H11 084 $aLC QA274-274.9 245 00$aStochastic geometry, spatial statistics and random fields$h[e-book] :$bmodels and algorithms /$cedited by Volker Schmidt 260 $aCham [Switzerland] :$bSpringer International Publishing,$c2015 300 $a1 online resource 440 0$aLecture notes in mathematics,$x1617-9692 ;$v2120 505 0 $aStein?s Method for Approximating Complex Distributions, with a View towards Point Processes -- Clustering Comparison of Point Processes, with Applications to Random Geometric Models -- Random Tessellations and their Application to the Modelling of Cellular Materials -- Stochastic 3D Models for the Micro-structure of Advanced Functional Materials -- Boolean Random Functions -- Random Marked Sets and Dimension Reduction -- Space-Time Models in Stochastic Geometry -- Rotational Integral Geometry and Local Stereology - with a View to Image Analysis -- An Introduction to Functional Data Analysis -- Some Statistical Methods in Genetics -- Extrapolation of Stationary Random Fields -- Spatial Process Simulation -- Introduction to Coupling-from-the-Past using R -- References -- Index 520 $aProviding a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, this volume places a special emphasis on fundamental classes of models and algorithms as well as on their applications, for example in materials science, biology and genetics. This book has a strong focus on simulations and includes extensive codes in Matlab and R, which are widely used in the mathematical community. It can be regarded as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other issues of stochastic geometry, spatial statistics and random fields were considered, with a focus on asymptotic methods 650 0$aAlgorithms 650 0$aGeometry 650 0$aDistribution (Probability theory) 700 1 $aSchmidt, Volker 773 0 $aSpringer eBooks 776 08$iPrinted edition:$z9783319100630 856 40$uhttp://link.springer.com/book/10.1007/978-3-319-10064-7$zAn electronic book accessible through the World Wide Web 907 $a.b14258109$b03-03-22$c12-07-16 912 $a991002944349707536 996 $aStochastic geometry, spatial statistics and random fields$9836596 997 $aUNISALENTO 998 $ale013$b12-07-16$cm$d@ $e-$feng$gde $h0$i0