Bayesian Analysis of State Space Models with Panel Data by Ranjita Mishra Department of Statistics, Banasthali Vidyapith, Rajasthan Coauthors: Anoop Chaturvedi (Department of Statistics, University of Allahabad, Allahabad)
The panel data models are gaining popularity among applied researchers as the longitudnal nature of these data can easily handle the complexity of biological, social, economic and enviornmental phenomenon. This paper considers the analysis of State space models with panel data under Bayesian framework. The conditional posterior distributions of various parameters of the model have been obtained under suitable prior assumptions. Gibbs sampler scheme has been proposed to estimate the marginal posterior densities for these parameters.