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 …

differences pre EU and post EU harmonization of pooling regulations? Further, what part do country characteristics play? The … of competition will develop after the repeal of the pooling exemption, to the pre-1986 landscape forms of competition …, financial records of major shipping companies, and direct data from companies using pooling techniques. Using linear regression …

contrast two insurance regimes; the status quo of mandated pooling of all risk types and the reform proposal being insurance …

time. Pooling data across different periods to identify lifecycle profiles and failing to account for unobserved …