Modern Methodology and Applications in Spatial-Temporal Modeling

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book Modern Methodology and Applications in Spatial-Temporal Modeling by , Springer Japan
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9784431553397
Publisher: Springer Japan Publication: January 8, 2016
Imprint: Springer Language: English
Author:
ISBN: 9784431553397
Publisher: Springer Japan
Publication: January 8, 2016
Imprint: Springer
Language: English

​ 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

​ 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.

More books from Springer Japan

Cover of the book Coral Reef Science by
Cover of the book Pancreatoduodenectomy by
Cover of the book Rebalancing for Sustainable Growth by
Cover of the book OPLL by
Cover of the book Realistic Simulation of Financial Markets by
Cover of the book Porous Metals with Directional Pores by
Cover of the book Paroxysmal Nocturnal Hemoglobinuria by
Cover of the book Arsenic Mitigation in Rural Bangladesh by
Cover of the book Digital Endocasts by
Cover of the book Lipoprotein Metabolism and Atherogenesis by
Cover of the book The Prefrontal Cortex as an Executive, Emotional, and Social Brain by
Cover of the book Treatment of Urolithiasis by
Cover of the book Landscape Ecology and Water Management by
Cover of the book Chemical Science of π-Electron Systems by
Cover of the book Evolutionary Foundations of Economic Science by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy