Editors:
- Covers specialized topics in spatial-temporal modeling provided by world experts for an introduction to key components
- Discusses a rigorous probabilistic and statistical framework for a range of contemporary topics of importance to a diverse number of fields in spatial and temporal domains
- Includes efficient computational statistical methods to perform analysis and inference in large spatial temporal application domains
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
Part of the book sub series: JSS Research Series in Statistics (JSSRES)
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Table of contents (4 chapters)
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Front Matter
About this book
Editors and Affiliations
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Department of Statistical Science, University College London, London, United Kingdom
Gareth William Peters
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The Institute of Statistical Mathem, Tachikawa, Japan
Tomoko Matsui
Bibliographic Information
Book Title: Modern Methodology and Applications in Spatial-Temporal Modeling
Editors: Gareth William Peters, Tomoko Matsui
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-4-431-55339-7
Publisher: Springer Tokyo
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-4-431-55338-0Published: 19 January 2016
eBook ISBN: 978-4-431-55339-7Published: 08 January 2016
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: XV, 111
Number of Illustrations: 13 b/w illustrations, 4 illustrations in colour
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences