TY  - BOOK
AU  - Smidl, Vaclav 
AU  - Quinn,Anthony
TI  -  The variational Bayes method in signal processing  
SN  - 9783642066900(PB)
U1  - 006.3 
PY  - 2011///
CY  - Berlin
PB  - Springer
KW  - Bayesian statistical decision theory
KW  - Signal processing Statistical methods
N1  - Bayesian Theory.- Off-line Distributional Approximations and the Variational Bayes Method.- Principal Component Analysis and Matrix Decompositions.- Functional Analysis of Medical Image Sequences.- On-line Inference of Time-Invariant Parameters.- On-line Inference of Time-Variant Parameters.- The Mixture-based Extension of the AR Model (MEAR).- Concluding Remarks
N2  - Synthesizes the Variational Bayes (VB) method of distributional approximation into eight clear steps ("the VB method"). When these are followed, the reader is equipped with the means to check if their model is amenable to this approximation, and to develop the approximation in a systematic way

Presents some very basic toy problems involving scalar decompositions, which give insight into the nature of the method in full applications

Employs the VB method in off-line and on-line scenarios in a standard and systematic way, allowing the results in each case to be compared with ease

Derives all necessary results in Bayesian methods, avoiding unnecessary elaboration and making the book self-contained
ER  -