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Theoretical Aspects of Spatial-Temporal Modeling
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Theoretical Aspects of Spatial-Temporal Modeling ([EBook]) / edited by Gareth William Peters, Tomoko Matsui.
Added Personal Name
Peters, Gareth William
Matsui, Tomoko
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2015.
Publication
Tokyo : Springer Japan , 2015.
Physical Details
XV, 124 pages : 18 illus., 13 illus. in color. : online resource.
Series
SpringerBriefs in Statistics
2191-544X
ISBN
9784431553366
Summary Note
This book provides a modern introductory tutorial on specialized theoretical aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter provides up-to-date coverage of particle association measures that underpin the theoretical properties of recently developed random set methods in space and time otherwise known as the class of probability hypothesis density framework (PHD filters). The second chapter gives an overview of recent advances in Monte Carlo methods for Bayesian filtering in high-dimensional spaces. In particular, the chapter explains how one may extend classical sequential Monte Carlo methods for filtering and static inference problems to high dimensions and big-data applications. The third chapter presents an overview of generalized families of processes that extend the class of Gaussian process models to heavy-tailed families known as alpha-stable processes. In particular, it covers aspects of characterization via the spectral measure of heavy-tailed distributions and then provides an overview of their applications in wireless communications channel modeling. The final chapter concludes with an overview of analysis for probabilistic spatial percolation methods that are relevant in the modeling of graphical networks and connectivity applications in sensor networks, which also incorporate stochastic geometry features.:
Contents note
1 Particle association measures and multiple target tracking(Pierre Del Moral and Jeremie Houssineau) -- 2 An Overview of Recent Advances in Monte-Carlo Methods for Bayesian Filtering in High-dimensional Spaces (François Septier and Gareth W. Peters) -- 3 Spectral Measures of α-stable Distributions: An overview and natural applications in Wireless Communications (Nourddine Azzaoui, Laurent Clavier, Arnaud Guillin and Gareth W. Peters) -- 4 Networks, Random Graphs and Percolation (Philippe Deprez and Mario V. Wüthrich).
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-4-431-55336-6
Links to Related Works
Subject References:
Statistical Theory and Methods
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Statistics
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Statistics and Computing/Statistics Programs
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Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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Authors:
editor
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Matsui, Tomoko
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Peters, Gareth William
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Corporate Authors:
SpringerLink (Online service)
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Series:
SpringerBriefs in Statistics
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Classification:
519.5
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