Modeling derived from Bayesian filtering: Analysis of estimation process

This paper treats a special topic of Bayesian filteringbased modeling concerning the analysis of the estimation process. The analysis involves the graphical representation of the estimation process. New concepts like the uncertainty range and the convergence point are defined from the graphical visualization of the estimation process. The paper structure consists of the following parts: an introduction where the principles of modeling are presented, the description of the analysis, two cases studies with simulations, and conclusions. Romania