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In a Bayesian regression model, parameters are not constants, but random variables described by some posterior distributions. In order to define such a distribution, two pieces of information are combined: (1) a prior distribution that represents previous knowledge about a model parameter and (2) a likelihood function that updates prior knowledge. Both elements are analysed in terms of implementing...
W artykule przybliżono koncepcję modelu regresji Bayesa oraz przedstawiono wykorzystanie tego modelu w budowaniu statystycznego klasyfikatora ciężkości wypadku drogowego w zależności od cech kierującego – sprawcy. Modele Bayesa zostały wyznaczone na dużej i małej próbie treningowej z uwzględnieniem informatywnych i nieinformatywnych rozkładów a’priori parametrów strukturalnych oraz porównane z analogicznymi...
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