Time series analysis concerns the study of data collected sequentially over time, with the dual objectives of understanding its dependence structure and generating reliable forecasts. Model selection ...

Bayesian model selection provides a coherent framework for comparing competing statistical models by balancing goodness of fit against model complexity through the use of prior distributions and ...