Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms
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 ge...
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oai:scholar.dlu.edu.vn:DLU123456789-576612023-11-11T05:48:13Z Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms Schmidt, Volker Stochastic geometry Congresses Spatial analysis Mathematics 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. 2015-08-20T01:51:02Z 2015-08-20T01:51:02Z 2015 Book 978-3-319-10064-7 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57661 en application/pdf Springer |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
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English |
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Stochastic geometry Congresses Spatial analysis Mathematics |
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Stochastic geometry Congresses Spatial analysis Mathematics Schmidt, Volker Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms |
description |
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. |
format |
Book |
author |
Schmidt, Volker |
author_facet |
Schmidt, Volker |
author_sort |
Schmidt, Volker |
title |
Stochastic Geometry, Spatial Statistics and Random Fields:
Models and Algorithms |
title_short |
Stochastic Geometry, Spatial Statistics and Random Fields:
Models and Algorithms |
title_full |
Stochastic Geometry, Spatial Statistics and Random Fields:
Models and Algorithms |
title_fullStr |
Stochastic Geometry, Spatial Statistics and Random Fields:
Models and Algorithms |
title_full_unstemmed |
Stochastic Geometry, Spatial Statistics and Random Fields:
Models and Algorithms |
title_sort |
stochastic geometry, spatial statistics and random fields:
models and algorithms |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57661 |
_version_ |
1819799813821038592 |