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pro vyhledávání: '"Chris Kolb"'
Autor:
David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
Publikováno v:
Journal of Statistical Software, Vol 105, Pp 1-31 (2023)
In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination of additive regression models and deep networks. Our implementation encom
Externí odkaz:
https://doaj.org/article/da18f6b48a9a4792973885c91aad0334
Publikováno v:
The American Statistician. :1-12
Combining additive models and neural networks allows to broaden the scope of statistical regression and extend deep learning-based approaches by interpretable structured additive predictors at the same time. Existing attempts uniting the two modeling