https://orcid.org/0000-0001-8221-1706
References
- Alvarsson, J., S. A. McShane, U. Norinder, and O. Spjuth. 2021. Predicting with confidence: Using conformal prediction in drug discovery. Journal of Pharmaceutical Sciences 110 (1):42–9. doi:10.1016/j.xphs.2020.09.055.
- Balasubramanian, V. N., S.-S. Ho, and V. Vovk. 2014. Conformal prediction for reliable machine learning. Boston: Morgan Kaufmann.
- Boström, H., H. Linusson, T. Löfström, and U. Johansson. 2017. Accelerating difficulty estimation for conformal regression forests. Annals of Mathematics and Artificial Intelligence 81 (1–2):125–44. doi:10.1007/s10472-017-9539-9.
- Dashevskiy, M., and Z. Luo. 2011. Time series prediction with performance guarantee. IET Communications 5 (8):1044–51. doi:10.1049/iet-com.2010.0121.
- Eurostat. 2021. Cow’s milk collection and products obtained – Monthly data.
- Gammerman, A., V. Vovk, and V. Vapnik. 1998. Learning by transduction. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence UAI’98, 148–55. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
- Hyndman, R., and G. Athanasopoulos. 2018. Forecasting: Principles and practice, 2nd ed. Melbourne, Australia: OTexts.
- Hyndman, R., G. Athanasopoulos, C. Bergmeir, G. Caceres, L. Chhay, M. O’Hara-Wild, F. Petropoulos, S. Razbash, and E. Wang, and F. Yasmeen. 2018. forecast: Forecasting functions for time series and linear models.
- Johansson, U., H. Boström, T. Löfström, and H. Linusson. 2014. Regression conformal prediction with random forests. Machine Learning 97 (1–2):155–76. doi:10.1007/s10994-014-5453-0.
- Kath, C., and F. Ziel. 2021. Conformal prediction interval estimation and applications to day-ahead and intraday power markets. International Journal of Forecasting 37 (2):777–99. doi:10.1016/j.ijforecast.2020.09.006.
- Kowalczewski, J. 2019. Normalized conformal prediction for time series data.
- Papadopoulos, H., V. Vovk, and A. Gammerman. 2011. Regression conformal prediction with nearest neighbours. Journal of Artificial Intelligence Research 40:815–40. doi:10.1613/jair.3198.
- Shafer, G., and V. Vovk. 2008. A tutorial on conformal prediction. Journal of Machine Learning Research 9:371–421.
- Tajmouati, S., B. El Wahbi, A. Bedoui, A. Abarda, and M. Dakkoun. 2021. Applying k-nearest neighbors to time series forecasting: Two new approaches, arXiv e-prints arXiv:2103.14200.
- Vovk, V., A. Gammerman, and G. Shafer. 2005. Algorithmic learning in a random world. Berlin, Heidelberg: Springer.
- Wisniewski, W., D. Lindsay, and S. Lindsay. 2020. Application of conformal prediction interval estimations to market makers’ net positions. In Conformal and Probabilistic Prediction and Applications, PMLR, pp. 285–301.
- Xu, C., and Y. Xie. 2021. Conformal prediction interval for dynamic time-series. International Conference on Machine Learning, PMLR, pp. 11559–69.
- Zhan, X., Z. Wang, M. Yang, Z. Luo, Y. Wang, and G. Li. 2020. An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction. Measurement 158:107588. doi:10.1016/j.measurement.2020.107588.