The forecast plays an important role in the planning, the decision-making and control in any domain of activity … (univariate models), that use only the information of its past values to forecast the future, can often predict future with more … accuracy than causal or multivariate models. In this paper, we model and forecast the offensive effectiveness of the soccer …

We forecast average annual GDP growth for 147 countries for 2010-30. We use a cross-country regression model where the …

An empirical forecast accuracy comparison of the non-parametric method, known as multivariate Nearest Neighbor method …, through the estimation of economic indicators plugged in the bridge equations, we get more accurate forecasts when using … for dependent time series, providing confidence intervals for point forecast in time series. …

-time forecasts of the real price of oil can be more accurate than the no-change forecast at horizons up to one year. In some cases … prices, forecasts based on AR and ARMA models, and the no-change forecast. In addition, these VAR models have consistently … forecasters to interpret their oil price forecast in light of economic models and to evaluate its sensitivity to alternative …

and use information in historical regimes to make inference on out-of-sample breaks. A Bayesian estimation and forecasting …

Bayesian vector autoregressive (BVAR) models are developed to forecast industry employment for a resource-based economy …