Estimation and Model Selection for an IDE-Based Spatio-Temporal Model

A state space model of the stochastic spatio-temporal integro-difference equation (IDE) is derived. Based on multidimensional sampling theory, the dimensions of the state space and parameter space of the model are identified from the spatial bandwidth of the system and the support of the redistribut...

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Veröffentlicht in:	IEEE transactions on signal processing 2009-02, Vol.57 (2), p.482-492
Hauptverfasser:	Scerri, K., Dewar, M., Kadirkamanathan, V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Augmentation Bandwidth Bayes factor Bayesian analysis Biological system modeling Brain modeling data augmentation (DA) algorithm dynamic spatio-temporal modeling Environmental factors Exact sciences and technology Importance sampling Information, signal and communications theory integro-difference equations Kernel Kernels Mathematical analysis Mathematical models Miscellaneous Monte Carlo methods Organisms Predictive models Sampling Signal processing State-space methods state-space models Systems engineering and theory Telecommunications and information theory
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