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Bayesovský přístup k ověřování platnosti řízeného dynamického modelu
Kárný, Miroslav ; Nedoma, Petr ; Šmídl, Václav
Model validation is considered as an obligatory step in model learning. This paper approaches the problem of model validation using Bayesian formulation and solution. An algorithm for validation of models estimated within the practically important exponential family is presented. Performance of the algorithms is illustrated on simulated example.

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