Bayesian pooling approach to drawing information from analogous time series to model and forecast a given time series. Bayesian … pooling uses data from analogous time series as multiple observations per time period in a group-level model. It then combines … other pooling approaches suffer from too many parameters to estimate), 2) builds on conventional time series models already …

processed turkey products, feed milling, field services, processing, storage, marketing on a pooling basis, and financing new …