Vytisknout
0575361 - ÚTIA 2024 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Uglickich, Evženie - Nagy, Ivan - Reznychenko, T.
Count Predictive Model with Mixed Categorical and Count Explanatory Variables.
Proceedings of the The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023. Piscataway: IEEE, 2023, s. 51-56. ISBN 979-8-3503-5804-9. E-ISSN 2770-4254.
[The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023. Dortmund (DE), 07.09.2023-09.09.2023]
Grant CEP: GA MŠMT 8A21009
Institucionální podpora: RVO:67985556
Klíčová slova: count data * Poisson mixtures * Poisson regression * recursive Bayesian mixture estimation
Obor OECD: Statistics and probability
http://library.utia.cas.cz/separaty/2023/ZS/uglickich-0575361.pdf
Trvalý link: https://hdl.handle.net/11104/0345384
Uglickich, Evženie - Nagy, Ivan - Reznychenko, T.
Count Predictive Model with Mixed Categorical and Count Explanatory Variables.
Proceedings of the The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023. Piscataway: IEEE, 2023, s. 51-56. ISBN 979-8-3503-5804-9. E-ISSN 2770-4254.
[The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023. Dortmund (DE), 07.09.2023-09.09.2023]
Grant CEP: GA MŠMT 8A21009
Institucionální podpora: RVO:67985556
Klíčová slova: count data * Poisson mixtures * Poisson regression * recursive Bayesian mixture estimation
Obor OECD: Statistics and probability
http://library.utia.cas.cz/separaty/2023/ZS/uglickich-0575361.pdf
Trvalý link: https://hdl.handle.net/11104/0345384