Least Squares and Kalman Filtering on Forney Graphs

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IEEE Signal Processing Magazine (2008, background): “In this article, we give an introduction to this unified perspective in terms of (Forney-style) factor graphs.”
An introduction to factor graphs (2004, background): “(In the main ideas, we will follow [24] and [13], but we will also adopt some details of notation from [27] and [42].”
The free energy principle made simpler but not too simple (2022, unknown): “…filtering is a generic Bayesian filtering scheme for nonlinear state–space models formulated in generalised coordinates of motion [36]; special cases include variational filtering [90], dynamic expectation maximisation [91], extended Kalman filtering [92], and generalised predictive coding.”
The Factor Graph Approach to Model-Based Signal Processing (2007, methodology): “In particular, we will present tabulated message computation rules for multivariate Gaussian messages that are extensions and refinements of similar tables in [3] and [ 33 ].”