Bayesian auto-correlated matrix factorization, software

dc.contributor.affiliationUniversity of Helsinki - Rusanen, Anton
dc.contributor.affiliationUniversity of Helsinki - Björklund, Anton
dc.contributor.affiliationPaul Scherrer Institute - Manousakas, Manousos I.
dc.contributor.affiliationPaul Scherrer Institute - Jiang, Jianhui
dc.contributor.affiliationUniversity of Helsinki - Kulmala, Markku T.
dc.contributor.affiliationUniversity of Helsinki - Puolamäki, Kai
dc.contributor.affiliationPaul Scherrer Institute - Daellenbach, Kaspar R.
dc.contributor.authorRusanen, Anton
dc.contributor.authorBjörklund, Anton
dc.contributor.authorManousakas, Manousos I.
dc.contributor.authorJiang, Jianhui
dc.contributor.authorKulmala, Markku T.
dc.contributor.authorPuolamäki, Kai
dc.contributor.authorDaellenbach, Kaspar R.
dc.date.accessioned2025-03-24T15:15:01Z
dc.date.issued2024-02-07
dc.date.issued2024-02-07
dc.descriptionSoftware related to: Rusanen, A., Björklund, A., Manousakas, M., Jiang, J., Kulmala, M. T., Puolamäki, K., and Daellenbach, K. R.: A novel probabilistic source apportionment approach: Bayesian Auto-correlated Matrix Factorization, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-70, in review, 2023. There is a companion dataset used in the examples: https://zenodo.org/doi/10.5281/zenodo.10629576 If you want to keep up to date on any developments, please see our github repository https://github.com/Rusanen/BAMF .
dc.identifierhttps://doi.org/10.5281/zenodo.10629849
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9484
dc.rightsOpen
dc.rights.licensemit-license
dc.titleBayesian auto-correlated matrix factorization, software
dc.typesoftware
dc.typesoftware
Zenodo


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