Bayesian inference for LTI systems in canonical state-space forms resolves parameter non-identifiability, yields well-behaved posteriors, and restores Bernstein-von Mises asymptotics.
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Canonical Bayesian Linear System Identification
Bayesian inference for LTI systems in canonical state-space forms resolves parameter non-identifiability, yields well-behaved posteriors, and restores Bernstein-von Mises asymptotics.