Optimal hierarchical EWMA forecasting

Giacomo Sbrana1, Matteo Pelagatti2
1NEOMA Business School, 1 Rue du Marechal Juin, 76130 Mont-Saint-Aignan, France
2Univeristy of Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milan, Italy

Tài liệu tham khảo

Brown, 1959

Durbin, 2012

Eddelbuettel, 2011, Rcpp: Seamless R and C++ integration, Journal of Statistical Software, 40, 1, 10.18637/jss.v040.i08

Enns, 1982, Forecasting applications of an adaptive multiple exponential smoothing model, Management Science, 28, 1035, 10.1287/mnsc.28.9.1035

Granger, 1977

Harvey, 1986, Analysis and generalisation of a multivariate exponential smoothing model, Management Science, 32, 374, 10.1287/mnsc.32.3.374

Harvey, 1989

Hyndman, 2011, Optimal combination forecasts for hierarchical time series, Computational Statistics & Data Analysis, 55, 2579, 10.1016/j.csda.2011.03.006

Hyndman, 2021

Hyndman, 2008, Automatic time series forecasting: The forecast package for R, Journal of Statistical Software, 027, 10.18637/jss.v027.i03

Hyndman, 2008

Hyndman, 2016, Fast computation of reconciled forecasts for hierarchical and grouped time series, Computational Statistics & Data Analysis, 97, 16, 10.1016/j.csda.2015.11.007

Hyndman, 2021

Magee, 1958

Pennings, 2017, Integrated hierarchical forecasting, European Journal of Operational Research, 263, 412, 10.1016/j.ejor.2017.04.047

Poloni, 2015, A note on forecasting demand using the multivariate exponential smoothing framework, International Journal of Production Economics, 162, 143, 10.1016/j.ijpe.2015.01.017

Poloni, 2017, Multivariate trend–cycle extraction with the Hodrick–Prescott filter, Macroecon. Dynam., 21, 1336, 10.1017/S1365100515000887

R Core Team, 2020

Sbrana, 2017, Short-term inflation forecasting: The meta approach, International Journal of Forecasting, 33, 1065, 10.1016/j.ijforecast.2017.06.007

Shumway, 1982, An approach to time series smoothing and forecasting using the EM algorithm, Journal of Time Series Analysis, 3, 253, 10.1111/j.1467-9892.1982.tb00349.x

Syntetos, 2016, Supply chain forecasting: Theory, practice, their gap and the future, European Journal of Operational Research, 252, 1, 10.1016/j.ejor.2015.11.010

Wickramasuriya, 2019, Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization, Journal of the American Statistical Association, 114, 804, 10.1080/01621459.2018.1448825

Winters, 1960, Forecasting sales by exponentially weighted moving averages, Management Science, 6, 324, 10.1287/mnsc.6.3.324