• Corpus ID: 249888956

Robustness against data loss with Algebraic Statistics

@inproceedings{Fontana2022RobustnessAD,
  title={Robustness against data loss with Algebraic Statistics},
  author={Roberto Fontana and Fabio Rapallo},
  year={2022}
}
The paper describes an algorithm that, given an initial design F n of size n and a linear model with p parameters, provides a sequence F n ⊃ . . . ⊃ F n − k ⊃ . . . ⊃ F p of nested robust designs. The sequence is obtained by the removal, one by one, of the runs of F n till a p -run saturated design F p is obtained. The potential impact of the algorithm on real applications is high. The initial fraction F n can be of any type and the output sequence can be used to organize the experimental… 

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