Modern Methodology and Applications in Spatial-Temporal Modeling

• Corporate Author: SpringerLink (Online service)
• Other Authors: Peters, Gareth William (Editor), Matsui, Tomoko (Editor)
• Format: Electronic eBook
• Language: English
• Published: Tokyo : Springer Japan : Imprint: Springer, 2015.
• Edition: 1st ed. 2015.
• Series: SpringerBriefs in Statistics,
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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...

Table of Contents:

• 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).