Special Issue on recent advances in continuous optimization on the occasion of the 25th European conference on Operational Research (EURO XXV 2012)

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Date

2014-01-02

Author

Weber, Gerhard Wilhelm
Kruger, Alexander
Enrique Martinez-Legaz, Juan
Mordukhovich, Boris
Sakalauskas, Leonidas

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Subject Keywords

Operations research & management science, Applied, Mathematics

URI

https://hdl.handle.net/11511/57874

Journal

OPTIMIZATION

DOI

https://doi.org/10.1080/02331934.2014.877638

Collections

Graduate School of Applied Mathematics, Article

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New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology Taylan, P.; Weber, Gerhard Wilhelm; Beck, A. (Informa UK Limited, 2007-10-01) Generalized additive models belong to modern techniques frorn statistical learning, and are applicable in many areas of prediction, e.g. in financial mathamatics, computational biology, medicine, chemistry and environmental protection. In these models, the expectation of response is linked to the predictors via a link function. These models are fitted through local scoring algorithm using it scatterplot smoother as building blocks proposed by Hastie and Tibshirani (1987). In this article, we first give it s...

Citation Formats

G. W. Weber, A. Kruger, J. Enrique Martinez-Legaz, B. Mordukhovich, and L. Sakalauskas, “Special Issue on recent advances in continuous optimization on the occasion of the 25th European conference on Operational Research (EURO XXV 2012),” OPTIMIZATION, pp. 1–5, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57874.