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Bayesovská detekce změny v míře nezaměstnanosti s použitím MCMC metod
Reisnerová, Soňa
The time series of numbers of new unemployed is analyzed and modeled as a series of Poisson counts. Its intensity parameter is assumed to have a linear shape with a possible jump and trend change. The change is detected with the Markov chain Monte Carlo procedure. An application to Czech Republic data 1998-2003 is presented.

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