Bayesian estimation, model choice and forecasting. These concepts are also illustrated in real world applications modelled via linear models of regression and classification and compared with ...

Bayesian estimation, model choice and forecasting. These concepts are also illustrated in real world applications modelled via linear models of regression and classification and compared with ...

We develop an MCMC algorithm for the augmented model and illustrate the approach in applications. We propose a Bayesian procedure for exploiting small, possibly long-lag linear predictability in the ...

BACKGROUND The Rogers–Castro model migration schedule is a key model for migration trends over the life course. It is applied in a wide variety of settings by demographers to examine the relationship ...