Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Generalized linear models, where a random vector x is observed through a noisy, possibly nonlinear, function of a linear transform z = A x, arise in a range of applications in nonlinear filtering and regression. Approximate message passing (AMP) methods, based on loopy belief propagation, are a prom...

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Bibliographische Detailangaben

Hauptverfasser:	Rangan, S, Fletcher, A.K, Schniter, P, Kamilov, U.S
Format:	Web Resource
Sprache:	eng
Online-Zugang:	Volltext bestellen
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