Modern Methodology and Applications in Spatial-Temporal Modeling

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

SpringerBriefs in Statistics – JSS Research Series in Statistics

ISBN: 443155338X
ISBN 13: 9784431553380
Herausgeber: Gareth William Peters/Tomoko Matsui
Verlag: Springer Verlag GmbH
Umfang: xv, 111 S., 13 s/w Illustr., 4 farbige Illustr., 111 p. 17 illus., 4 illus. in color.
Erscheinungsdatum: 19.01.2016
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

Covers specialized topics in spatial-temporal modeling provided by world experts for an introduction to key componentsDiscusses a rigorous probabilistic and statistical framework for a range of contemporary topics of importance to a diverse number of fields in spatial and temporal domainsIncludes efficient computational statistical methods to perform analysis and inference in large spatial temporal application domainsIncludes supplementary material: sn.pub/extras

Beschreibung

Inhaltsangabe1. Introduction -2. Nonparametric Bayesian Inference with Kernel Mean Embedding -3. Statistical Modeling in Wireless Sensor Networks for Spatial Field Reconstruction -4. Speech and Music Emotion Recognition using Gaussian Processes -5. Topic Modeling for Speech and Language Processing -6. Applications of Copulas to Wireless Communications-7. Conclusions.

Autorenporträt

Inhaltsangabe-1. Introduction -2. Nonparametric Bayesian Inference with Kernel Mean Embedding -3. Statistical Modeling in Wireless Sensor Networks for Spatial Field Reconstruction -4. Speech and Music Emotion Recognition using Gaussian Processes -5. Topic Modeling for Speech and Language Processing -6. Applications of Copulas to Wireless Communications-7. Conclusions

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …