Prediction distributions for changing sequences
A changing sequence of independent variables is observed and on the basis of these observations, future values of the process are forecasted. In this paper, the Bayesian predictive density for k future observations for the univariate and multivariate normal sequences which change distribution more than once, are derived. Inferences are then based on these distributions.