Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and its applications, a factor graph is a particular type of graphical model with applications in Bayesian inference, where factor graphs enable efficient computation of marginal distributions, through the sum-product algorithm. One of the important success stories of factor graphs and the sum-product algorithm is the decoding of capacity-approaching error-correcting codes, such as LDPC and turbo codes.

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