abstract: Part I: Gaussian message passing in linear models: Kalman filtering, recursive least squares, etc. Part II: Beyond Gaussians: particle filters, expectation maximization, variational methods as message passing. Part III: Fourier transform and Legendre transform on factor graphs.
Factor Graphs and Message Passing Algorithms