Corpus ID: 88516692

Is a single unique Bayesian network enough to accurately represent your data

@article{Kratzer2019IsAS,
  title={Is a single unique Bayesian network enough to accurately represent your data},
  author={G. Kratzer and R. Furrer},
  journal={arXiv: Computation},
  year={2019}
}
  • G. Kratzer, R. Furrer
  • Published 2019
  • Computer Science, Mathematics
  • arXiv: Computation
  • Bayesian network (BN) modelling is extensively used in systems epidemiology. Usually it consists in selecting and reporting the best-fitting structure conditional to the data. A major practical concern is avoiding overfitting, on account of its extreme flexibility and its modelling richness. Many approaches have been proposed to control for overfitting. Unfortunately, they essentially all rely on very crude decisions that result in too simplistic approaches for such complex systems. In practice… CONTINUE READING
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