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they do not use priors or expert belief. they solve the system id problem directly - which in most problems is unresolvable


I'm just working through the math in the paper right now. To me, it looks like all of the formulas could be expressed in a probabilistic PL and MCMC could be used to estimate the probabilities of both latent state and parameters. Would there be some particular roadblocks to this approach?


What does solving system id mean?


estimating model parameters. normally people use heuristics because it’s an unreasonable problem for linear dynamical systems without additional assumptions. here, they’re able to produce analytical results and finite sample analysis


*unresolvable




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