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Bayesian model order selection for nonlinear system function expansions.

Abstract:

Orthonormal function expansions have been used extensively in the context of linear and nonlinear systems identification, since they result in a significant reduction in the number of required free parameters. In particular, Laguerre basis expansions of Volterra kernels have been used successfully for physiological systems identification, due to the exponential decaying characteristics of the Laguerre orthonormal basis and the inherent nonlinearities that characterize such systems. A critical...

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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Language:
English
Pubs id:
pubs:477287
UUID:
uuid:1dcc88ac-0abb-4039-a0ed-d3dbc06947fb
Local pid:
pubs:477287
Deposit date:
2014-07-26

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