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Stochastic Geometry, Spatial Statistics and Random Fields : Models and Algorithms / edited by Volker Schmidt.
Math/Physics/Astronomy Library QA3 .L28 v.1-999 470,523,830,849:2nd ed. v.1000-1722,1762,1781,1799-2099,2100-2218 2219-2223-2258,2260-2271,2273-2274-2277,2279-2281,2283-2289,2291,2293-2294,2296,2298-2299,2300-2311,2313-2379,2380-2384 2385-2389,2392
Mixed Availability
LIBRA QA3 .L28 Scattered vols.
Mixed Availability
- Format:
- Book
- Series:
- Lecture Notes in Mathematics, 0075-8434 ; 2120
- Language:
- English
- Subjects (All):
- Probabilities.
- Mathematical models.
- Algorithms.
- Geometry.
- Probability Theory and Stochastic Processes.
- Mathematical Modeling and Industrial Mathematics.
- Local Subjects:
- Probability Theory and Stochastic Processes.
- Mathematical Modeling and Industrial Mathematics.
- Algorithms.
- Geometry.
- Physical Description:
- 1 online resource (XXIV, 464 p. 133 illus., 63 illus. in color.)
- Edition:
- 1st ed. 2015.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- Language Note:
- English
- Summary:
- 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.
- Contents:
- Stein’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.
- Notes:
- Bibliographic Level Mode of Issuance: Monograph
- ISBN:
- 3-319-10064-5
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