Model comparison via simplicial complexes and persistent homology

  title={Model comparison via simplicial complexes and persistent homology},
  author={Sean T. Vittadello and Michael P. H. Stumpf},
  journal={Royal Society Open Science},
In many scientific and technological contexts, we have only a poor understanding of the structure and details of appropriate mathematical models. We often, therefore, need to compare different models. With available data we can use formal statistical model selection to compare and contrast the ability of different mathematical models to describe such data. There is, however, a lack of rigorous methods to compare different models a priori. Here, we develop and illustrate two such approaches that… 

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