arXiv stat.ML
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Nonlinear Bayesian Estimator for Parameter Learning: A Fixed-Point Characterization
arXiv:2606.10111v2 Announce Type: replace-cross Abstract: This paper presents a nonlinear parameter estimator for Wiener-type state-space models obtained as a fixed-point architecture that couples two affine minimum mean-squared error (MMSE) estimators: one for the unknown parameters and one for latent variables. The a