تحليل بيزي مدلهاي خطي تعميم يافته پويا در داده هاي گسسته و مقايسه آن با دو نگرش بيز معمولي و بيز تجربي با كاربردي در وضعيت بيكاري كشور

Bayesian Analysis of Generalized Dynamic linear Models and its Application in Iranian Unemployment Problem

The purpose of this paper is to introduce the Baysian generalized dynamic models of non-parametric data. Following a Generalized Dynamic Bayesian statistical inference Paradigm, in this paper, we provide a new approach for multiparameters logistic regression when we have a nonlinear model between yt and B(. In this approach Response Variable (yt) and the coefficients of the model (Bt) are depended of time t. The proposed procedure is illustrated by applying a data set for unemployment in Iran, which has previously been analyzed by various authors.