Modern Methodology and Applications in Spatial-Temporal Modeling

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Peters, Gareth William (Επιμελητής έκδοσης), Matsui, Tomoko (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Tokyo : Springer Japan : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: SpringerBriefs in Statistics,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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).