Publications
- 2024) Coherent forecast combination for linearly constrained multiple time series. arXiv. ([doi] [arXiv]
- 2024) Insights into regression-based cross-temporal forecast reconciliation. arXiv. ([arXiv] [code]
- 2024) Forecast reconciliation: Not only hierarchies. The Fourth Edition of the Young Applied Mathematicians Conference: Book of abstract. Ed. by E. Onofri, and G. Auricchio. Cnr Edizioni. in press. ([doi] [isbn]
- 2024) Exploiting intraday decompositions in Realized Volatility forecasting: a forecast reconciliation approach. Journal of Financial Econometrics, 22(5), 1759-1784. ([doi] [arXiv]
- 2024) Cross-temporal Probabilistic Forecast Reconciliation. International Journal of Forecasting, 40(3), 1134-1151. ([doi] [arXiv] [code]
- 2024) Exploring the impacts of COVID‐19 on births in Italy, 2020−2022. Population, Space and Place, 30(8). ([doi]
- 2024) Forecast combination based forecast reconciliation: insights and extensions. International Journal of Forecasting, 40(2), 490-514. ([doi] [arXiv]
- 2024) Point and probabilistic forecast reconciliation for general linearly constrained multiple time series. Statistical Methods & Applications, 33, 581–607. ([doi] [arXiv] [code]
- 2023) FoReco: Point Forecast Reconciliation. CRAN. ([cran] [code]
- 2023) Spatio-temporal reconciliation of solar forecasts. Solar Energy, 251, 13-29. ([doi] [code]
- 2023) Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives. International Journal of Forecasting, 39(1), 39-57. ([doi] [arXiv] [code]
- 2022) Fully reconciled probabilistic GDP forecasts from Income and Expenditure sides. Book of Short Papers SIS 2022. Ed. by A. Balzanella, M. Bini, C. Cavicchia, and R. Verde. Pearson, pp. 1376–1381. ([isbn] [arXiv]
- 2022) Enhancements in cross-temporal forecast reconciliation, with an application to solar irradiance forecasts. Working paper. ([arXiv]
- 2020) Fully reconciled GDP forecasts from Income and Expenditure sides. Book of Short Papers SIS 2020. Ed. by A. Pollice, N. Salvati, and F. Schirripa Spagnolo. Pearson, pp. 951–956. ([isbn] [arXiv]
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