Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms: 2120 (Lecture Notes in Mathematics, 2120) - Softcover

Softcover

ISBN 10: 3319100637 ISBN 13: 9783319100630

Publisher: Springer, 2014

Synopsis

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.

About this title

From the Back Cover

Providing 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.

Edition details

• Publisher: Springer
• Publication date: 2014
• Language: English
• ISBN 10: 3319100637
• ISBN 13: 9783319100630
• Binding: Paperback
• Number of pages: 488
• Editor: Schmidt Volker