661-686 Back to the present: Learning about the euro area through a now-casting modelīy Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T.641-660 Hierarchical transfer learning with applications to electricity load forecastingīy Antoniadis, Anestis & Gaucher, Solenne & Goude, Yannig.626-640 Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregatesīy Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey.616-625 Optimal hierarchical EWMA forecasting.597-615 Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotionsīy Abolghasemi, Mahdi & Tarr, Garth & Bergmeir, Christoph.581-596 Hierarchical forecasting for aggregated curves with an application to day-ahead electricity price auctions.564-580 Counterfactual reconciliation: Incorporating aggregation constraints for more accurate causal effect estimates.549-563 Hierarchical mortality forecasting with EVT tails: An application to solvency capital requirement.532-548 Forecasting Australian fertility by age, region, and birthplaceīy Yang, Yang & Shang, Han Lin & Raymer, James.515-531 Likelihood-based inference in temporal hierarchiesīy Møller, Jan Kloppenborg & Nystrup, Peter & Madsen, Henrik.490-514 Forecast combination-based forecast reconciliation: Insights and extensionsīy Di Fonzo, Tommaso & Girolimetto, Daniele.Nganba & Ma, Ruijun & Reddy, Rohan & Cao, Mengfei & Dicker, Lee 470-489 Probabilistic hierarchical forecasting with deep Poisson mixturesīy Olivares, Kin G.457-469 Probabilistic reconciliation of count time seriesīy Corani, Giorgio & Azzimonti, Dario & Rubattu, Nicolò.& Kourentzes, Nikolaos & Panagiotelis, Anastasios 430-456 Forecast reconciliation: A reviewīy Athanasopoulos, George & Hyndman, Rob J.

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