Modern Methodology and Applications in Spatial-Temporal Modeling

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 firs...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Peters, Gareth William (Editor ), Matsui, Tomoko (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Tokyo : Springer Japan : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:JSS Research Series in Statistics,
Temas:
Statistics .
Mathematical statistics-Data processing.
Statistical Theory and Methods.
Statistics and Computing.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1 Nonparametric Bayesian Inference with Kernel Mean Embedding (Kenji Fukumizu)
  • 2 How to Utilise Sensor Network Data to Efficiently Perform Model Calibration and Spatial Field Reconstruction (Gareth W. Peters, Ido Nevat and Tomoko Matsui)
  • 3 Speech and Music Emotion Recognition using Gaussian Processes (Konstantin Markov and Tomoko Matsui)
  • 4 Topic Modeling for Speech and Language Processing (Jen-Tzung Chien).

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