Citations refer to the original publication, not to a Scieee localized version.
Euthum, M., Scherer, M., & Ungolo, F. (2024). A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population. European Actuarial Journal, 14(2), 495–524. https://doi.org/10.1007/s13385-024-00377-5
Euthum, Maximilian, et al. “A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population.” European Actuarial Journal, vol. 14, no. 2, 2024, pp. 495–524. https://doi.org/10.1007/s13385-024-00377-5.
Euthum, Maximilian, Matthias Scherer, and Francesco Ungolo. “A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population.” European Actuarial Journal 14, no. 2 (2024): 495–524. https://doi.org/10.1007/s13385-024-00377-5.
Euthum, M., Scherer, M. and Ungolo, F. (2024) ‘A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population’, European Actuarial Journal, 14(2), pp. 495–524. Available at: https://doi.org/10.1007/s13385-024-00377-5.
M. Euthum, M. Scherer, and F. Ungolo, “A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population,” European Actuarial Journal, vol. 14, no. 2, pp. 495–524, 2024, doi: 10.1007/s13385-024-00377-5.
@article{euthum2024neural,
author = {Euthum, Maximilian and Scherer, Matthias and Ungolo, Francesco},
title = {A neural network approach for the mortality analysis of multiple populations: a case study on data of the Italian population},
journal = {European Actuarial Journal},
year = {2024},
volume = {14},
number = {2},
pages = {495--524},
publisher = {Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer},
doi = {10.1007/s13385-024-00377-5},
url = {https://doi.org/10.1007/s13385-024-00377-5}
}
