a combinative method to forecast natural gas consumption by Bayesian Model Averaging (BMA). It can effectively handle …

factors to affect the banks. The model uses Bayesian Model Averaging (BMA) of Locally Weighted Regression models (LOESS), i …

Posterior analysis in Bayesian model averaging (BMA) applications often includes the assessment of measures of …

Model Averaging to address model uncertainty, but Ciccone and Jarociński (2010) have questioned the approach on theoretical …The issue of model uncertainty is central to the empirical study of economic growth. Many recent papers use Bayesian …

aspects of study design that may influence the estimates, and use Bayesian model averaging to take into account model …

study design and employ Bayesian model averaging to tackle the resulting model uncertainty. Our findings suggest that the …

weights are given by Bayesian model averaging. In the case of forecasts on Germany’s real GDP growth rate, this new forecast …

strength of habit formation equals 0.4, but the estimates vary widely both within and across studies. We use Bayesian model … averaging to assign a pattern to this variance while taking into account model uncertainty. Studies using micro data report …