References

Bishop, Christopher M. 2006. Pattern Recognition and Machine Learning. springer.

Branco, Paula, Luis Torgo, and Rita Ribeiro. 2015. “A Survey of Predictive Modelling Under Imbalanced Distributions.” arXiv Preprint arXiv:1505.01658.

Group, Open COVID-19 Data Working. 2020. “Detailed Epidemiological Data from the COVID-19 Outbreak.” Accessed on yyyy-mm-dd from http://virological.org/t/epidemiological-data-from-the-ncov-2019-outbreak-early-descriptions-from-publicly-available-data/337.

Jolliffe, Ian T, Nickolay T Trendafilov, and Mudassir Uddin. 2003. “A Modified Principal Component Technique Based on the LASSO.” Journal of Computational and Graphical Statistics 12 (3): 531–47.

Manning, Christopher D, Hinrich Schütze, and Prabhakar Raghavan. 2008. Introduction to Information Retrieval. Cambridge university press.

Nocedal, Jorge, and Stephen Wright. 2006. Numerical Optimization. Springer Science & Business Media.

Wang, HaiYing, Rong Zhu, and Ping Ma. 2018. “Optimal Subsampling for Large Sample Logistic Regression.” Journal of the American Statistical Association 113 (522): 829–44.

Wasserman, Larry. 2013. All of Statistics: A Concise Course in Statistical Inference. Springer Science & Business Media.

Witten, Daniela M, Robert Tibshirani, and Trevor Hastie. 2009. “A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis.” Biostatistics 10 (3): 515–34.

Xu, Bo, Bernardo Gutierrez, Sumiko Mekaru, Kara Sewalk, Lauren Goodwin, Alyssa Loskill, Emily Cohn, et al. 2020. “Epidemiological data from the COVID-19 outbreak, real-time case information.” Scientific Data 7 (106). https://doi.org/doi.org/10.1038/s41597-020-0448-0.

Zhu, Rong, Ping Ma, Michael W Mahoney, and Bin Yu. 2015. “Optimal Subsampling Approaches for Large Sample Linear Regression.” arXiv, arXiv–1509.