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JSS Research Series in Statistics

Modern Methodology and Applications in Spatial-Temporal Modeling

Editors: Peters, Gareth W, Matsui, Tomoko (Eds.)

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  • ​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
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eBook 44,02 €
price for Spain (gross)
  • ISBN 978-4-431-55339-7
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Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-4-431-55338-0
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  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

​ This book provides a modern introductory tutorial on specialized methodological and applied 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 deals with non-parametric Bayesian inference via a recently developed framework known as kernel mean embedding which has had a significant influence in machine learning disciplines. The second chapter takes up non-parametric statistical methods for spatial field reconstruction and exceedance probability estimation based on Gaussian process-based models in the context of wireless sensor network data. The third chapter presents signal-processing methods applied to acoustic mood analysis based on music signal analysis. The fourth chapter covers models that are applicable to time series modeling in the domain of speech and language processing. This includes aspects of factor analysis, independent component analysis in an unsupervised learning setting. The chapter moves on to include more advanced topics on generalized latent variable topic models based on hierarchical Dirichlet processes which recently have been developed in non-parametric Bayesian literature. The final chapter discusses aspects of dependence modeling, primarily focusing on the role of extreme tail-dependence modeling, copulas, and their role in wireless communications system models.

Table of contents (4 chapters)

Table of contents (4 chapters)

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-4-431-55339-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-4-431-55338-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Modern Methodology and Applications in Spatial-Temporal Modeling
Editors
  • Gareth W Peters
  • Tomoko Matsui
Series Title
JSS Research Series in Statistics
Copyright
2015
Publisher
Springer Japan
Copyright Holder
The Author(s)
eBook ISBN
978-4-431-55339-7
DOI
10.1007/978-4-431-55339-7
Softcover ISBN
978-4-431-55338-0
Series ISSN
2364-0057
Edition Number
1
Number of Pages
XV, 111
Number of Illustrations
13 b/w illustrations, 4 illustrations in colour
Topics