It can be highly beneficial for companies to develop a forecast of the future values of some important metrics, such as demand for its product or variables that describe the economic climate. There ...

Widely used methods of automated forecasting for production and inventory control contribute to the severity of recessions. We describe an approach to forecasting that should reduce the damage caused ...

Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...

Financial forecasting is the act of estimating future financial outcomes for a business or an investment. It is a critical process in financial planning and decision-making. It employs statistical ...

Noncausal time series analysis deviates from traditional causal frameworks by incorporating both past and future information to explain and predict the dynamics of complex systems. This approach is ...

Managers in a manufacturing environment often must forecast the amount of inventory and supplies needed to meet demands. The use of forecasting assumes that past trends will continue with little ...