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Authors
Anubhab Biswas (0009-0001-2780-7555), Lorenzo Nespoli (0000-0001-9710-8517), Dario Azzimonti (0000-0001-5080-3061), Lorenzo Zambon (0000-0002-8939-993X), Nicolò Rubattu (0000-0002-2703-1005), Giorgio Corani (0000-0002-1541-8384)
Citation
Biswas et al., (2025). BayesReconPy: A Python package for forecast reconciliation. Journal of Open Source Software, 10(111), 8336, https://doi.org/10.21105/joss.08336
@article{Biswas2025,
doi = {10.21105/joss.08336},
url = {https://doi.org/10.21105/joss.08336},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {111},
pages = {8336},
author = {Biswas, Anubhab and Nespoli, Lorenzo and Azzimonti, Dario and Zambon, Lorenzo and Rubattu, Nicolò and Corani, Giorgio},
title = {BayesReconPy: A Python package for forecast reconciliation},
journal = {Journal of Open Source Software}
}
Tags
forecasting time series hierarchical forecasting forecast reconciliation
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