LEADER 02825nam a22003735i 4500 001 991002944419707536 008 160712s2015 sz a b 001 0 eng d 020 $a9783319100630 035 $ab14258110-39ule_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 :$bmodels and algorithms /$cedited by Volker Schmidt 260 $aCham [Switzerland] :$bSpringer International Publishing,$cc2015 300 $axxiv, 464 p. :$bill. ;$c24 cm 440 0$aLecture notes in mathematics,$x0075-8434 ;$v2120 504 $aIncludes bibliographical references and index 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 907 $a.b14258110$b22-11-16$c12-07-16 912 $a991002944419707536 945 $aLE013 60-XX SCH21 (2015)$g1$i2013000293653$lle013$op$pE72.79$q-$rl$s- $t0$u0$v0$w0$x0$y.i1578874x$z22-11-16 996 $aStochastic geometry, spatial statistics and random fields$9836596 997 $aUNISALENTO 998 $ale013$b12-07-16$cm$da $e-$feng$gde $h0$i0