Authors
1 Assistant Professor, Allameh Tabatabaie University, Tehran, Iran
2 Ph.D. Student, Tarbiat Modarres University, Tehran, Iran
Abstract
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 and . In this approach Response Variable and the coefficients of the model 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.
Keywords
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