COVID-19 countermeasures, Major League Baseball, and the home field advantage: Simulating the 2020 season using logit regression and a neural network

Justin A. Ehrlich, Shankar Ghimire. COVID-19 countermeasures, Major League Baseball, and the home field advantage: Simulating the 2020 season using logit regression and a neural network. F1000Research, 9:414, 2020. [doi]

@article{EhrlichG20,
  title = {COVID-19 countermeasures, Major League Baseball, and the home field advantage: Simulating the 2020 season using logit regression and a neural network},
  author = {Justin A. Ehrlich and Shankar Ghimire},
  year = {2020},
  doi = {10.12688/f1000research.23694.1},
  url = {https://doi.org/10.12688/f1000research.23694.1},
  researchr = {https://researchr.org/publication/EhrlichG20},
  cites = {0},
  citedby = {0},
  journal = {F1000Research},
  volume = {9},
  pages = {414},
}