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This document discusses joint estimation and classification problems involving both static discrete and dynamic continuous variables. It introduces a structural solution for these problems, emphasizing the relationship between state estimation and classification, and outlines the derivation of posterior probabilities and conditional densities. The document also covers special cases and methods for computing class-conditional likelihoods in both linear Gaussian and non-linear scenarios.

Author

dahekat558

Language

EN