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This paper considers approximations of marginalization sums that arise in Bayesian inference problems. Optimal approximations of such marginalization sums, using a fixed number of terms, are analyzed for a simple model. The model under study is motivated by recent studies of linear regression problems with sparse parameter vectors, and of the problem of discriminating signal-plus-noise samples from...
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