A system of sub-annual time series (say, quarterly) is generally required to be coherent with known totals. Usually, such constraints are contemporaneous, when the variables of the system are subject to one or more accounting relationships in every period; temporal, when high-frequency series are to be consistent with known (more reliable) low-frequency counterparts (say, annual). However, some inconsistencies are likely to appear in the system when variables are estimated independently. Restoring the fullfilment of both contemporaneous and temporal constraints represents the problem of reconciliation
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...
Two-step reconciliation methods solve the temporal constraint in the first step, while in the second...
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
In this study the 2003-2007 U.S. annual input-output accounts, GDP-by-industry accounts and expendit...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
The 2003\u20132007 U.S. annual input\u2013output accounts, GDP by-industry accounts, and expenditure...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
We propose new simultaneous and two-step procedures for reconciling systems of time series subject t...
We propose new simultaneous and two-step procedures for reconciling systems of time series subject t...
Most of the data obtained by statistical agencies have to be adjusted, corrected or somehow processe...
Most of the data obtained by statistical agencies have to be adjusted, corrected or somehow processe...
Most of the data obtained by statistical agencies have to be adjusted, corrected or somehow processe...
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...
Two-step reconciliation methods solve the temporal constraint in the first step, while in the second...
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
In this study the 2003-2007 U.S. annual input-output accounts, GDP-by-industry accounts and expendit...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
The 2003\u20132007 U.S. annual input\u2013output accounts, GDP by-industry accounts, and expenditure...
The reconciliation of systems of time series subject to both temporal and contemporaneous constraint...
We propose new simultaneous and two-step procedures for reconciling systems of time series subject t...
We propose new simultaneous and two-step procedures for reconciling systems of time series subject t...
Most of the data obtained by statistical agencies have to be adjusted, corrected or somehow processe...
Most of the data obtained by statistical agencies have to be adjusted, corrected or somehow processe...
Most of the data obtained by statistical agencies have to be adjusted, corrected or somehow processe...
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...
Two-step reconciliation methods solve the temporal constraint in the first step, while in the second...
Forecast reconciliation is a post-forecasting process aimed to improve the quality of the base forec...