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 ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

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 ...