@article{shapley1953,
  title={A value for n-person games.},
  author={Shapley, Lloyd S.},
  journal={Contributions to the Theory of Games},
  volume={2},
  number={28},
  pages={307-317},
  year={1953}
}

@article{Mayrhofer2022,
  title={Multivariate outlier explanations using Shapley values and Mahalanobis distances},
  author={Mayrhofer, Marcus and Filzmoser, Peter},
  journal={Econometrics and Statistics},
  year={2023},
  publisher={Elsevier}
}


@article{Rousseeuw1985,
    author = {Rousseeuw, Peter},
    year = {1985},
    month = {01},
    pages = {283-297},
    title = {Multivariate Estimation With High Breakdown Point},
    isbn = {978-94-010-8901-2},
    journal = {Mathematical Statistics and Applications Vol. B},
    doi = {10.1007/978-94-009-5438-0_20}
}

@article{Rousseeuw2018,
author = {Peter J. Rousseeuw and Wannes Van Den Bossche},
title = {Detecting Deviating Data Cells},
journal = {Technometrics},
volume = {60},
number = {2},
pages = {135-145},
year  = {2018},
publisher = {Taylor & Francis},
doi = {10.1080/00401706.2017.1340909},
}

@article{Agostinelli2015,
author = {Agostinelli, Claudio and Leung, Andy and Yohai, Victor and Zamar, Ruben},
year = {2015},
month = {06},
pages = {441-461},
title = {Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination},
volume = {24},
journal = {Test},
doi = {10.1007/s11749-015-0450-6}
}

@misc{weather,
  author = {{Stadt Wien}},
	title = {{Monthly data from the weather station Hohe Warte since April 1872 - Vienna}},
	url = {https://www.data.gv.at/katalog/dataset/wetter-seit-1872-hohe-warte-wien},
	year = {2022}
}

@misc{Raymaekers2022,
  doi = {10.48550/ARXIV.2207.13493},
  url = {https://arxiv.org/abs/2207.13493},
  author = {Raymaekers, Jakob and Rousseeuw, Peter J.},
  keywords = {Methodology (stat.ME), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {The Cellwise Minimum Covariance Determinant Estimator},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}
