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• W2247147043 abstract "The Poisson likelihood with rectied linear function as non-linearity is a physically plausible model to discribe the stochastic arrival process of photons or other particles at a detector. At low emission rates the discrete nature of this process leads to measurement noise that behaves very dierently from additive white Gaussian noise. To address the intractable inference problem for such models, we present a novel ecient and robust Expectation Propagation algorithm entirely based on analytically tractable computations operating reliably in regimes where quadrature based implementations can fail. Full posterior inference therefore becomes an attractive alternative in areas generally dominated by methods of point estimation. Moreover, we discuss the rectied linear function in the context of other" @default.
• W2247147043 created "2016-06-24" @default.
• W2247147043 creator A5005681375 @default.
• W2247147043 creator A5084773758 @default.
• W2247147043 date "2015-01-01" @default.
• W2247147043 modified "2023-10-04" @default.
• W2247147043 title "Expectation Propagation for Rectified Linear Poisson Regression" @default.
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• W2247147043 hasPublicationYear "2015" @default.
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