Collections of time series formed via aggregation are prevalent in many fields. These are
commonly referred to as hierarchical time series and may be constructed cross-sectionally …

The demand is often forecasted using econometric (regression) or statistical forecasting
methods. However, most of these methods lack the ability to model both temporal (linear and …

Output growth estimates for regions of the UK are currently published at an annual
frequency only, released with a long delay, and offer limited historical coverage. To improve …

In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career
spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring …

This survey provides an overview with a broad coverage of the literature on methods for
temporal disaggregation and benchmarking. Dozens of methods, procedures and …

Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base
forecasts for a system of hierarchical/grouped time series. Cross-sectional and temporal …

The state-space approach provides a formal framework where any result or procedure
developed for a basic model can be seamlessly applied to a standard formulation written in …

In this paper, we derive a simultaneous system of equations which aims at analysing the
uranium supply and demand. In addition to reviewing and updating previous studies dealing …

The reconciliation of systems of time series subject to both temporal and contemporaneous
constraints can be solved in such a way that the temporal profiles of the original series be …

We propose a simple smoothing method for the spatiotemporal disaggregation of economic
time series. Contrary to the existing methods, our approach does not require exogenous …