Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Baklanova, Valeriia"'
Publikováno v:
China Finance Review International, 2023, Vol. 14, Issue 3, pp. 522-548.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CFRI-06-2023-0175
Autor:
Erlygin, Leonid, Zholobov, Vladimir, Baklanova, Valeriia, Sokolovskiy, Evgeny, Zaytsev, Alexey
Machine learning models play a vital role in time series forecasting. These models, however, often overlook an important element: point uncertainty estimates. Incorporating these estimates is crucial for effective risk management, informed model sele
Externí odkaz:
http://arxiv.org/abs/2302.02834
Autor:
Erlygin, Leonid, Zholobov, Vladimir, Baklanova, Valeriia, Sokolovskiy, Evgeny, Zaytsev, Alexey
Machine learning models are widely used to solve real-world problems in science and industry. To build robust models, we should quantify the uncertainty of the model's predictions on new data. This study proposes a new method for uncertainty estimati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3880a26a1f32431f5f73ccef7f4b70f
http://arxiv.org/abs/2302.02834
http://arxiv.org/abs/2302.02834
Autor:
Teplova, Tamara (AUTHOR), Kurkin, Aleksei1 (AUTHOR) avkurkin@hse.ru, Baklanova, Valeriia (AUTHOR)
Publikováno v:
Annals of Operations Research. Nov2023, p1-25.