1. George Athanasopoulos, Puwasala Gamakumara, Anastasios Panagiotelis, Rob J Hyndman, and Mohamed Affan. 2020. Hierarchical forecasting. Macroeconomic forecasting in the era of big data: Theory and practice (2020), 689--719.
2. Regularized Regression for Hierarchical Forecasting Without Unbiasedness Conditions
3. Probabilistic demand forecasting at scale
4. Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014).
5. Yarin Gal and Zoubin Ghahramani. 2016. Dropout as a bayesian approximation: Representing model uncertainty in deep learning. In international conference on machine learning. PMLR, 1050--1059.