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Creators/Authors contains: "Gross, Elizabeth"

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  1. ; ; ; ; ; ; (, Journal of Symbolic Computation)
    Free, publicly-accessible full text available May 1, 2026
  2. ; ; ; ; ; (, Algebraic Statistics)
    Free, publicly-accessible full text available January 1, 2026
  3. ; ; (, Bulletin of Mathematical Biology)
    Abstract Phylogenetic networks represent evolutionary histories of sets of taxa where horizontal evolution or hybridization has occurred. Placing a Markov model of evolution on a phylogenetic network gives a model that is particularly amenable to algebraic study by representing it as an algebraic variety. In this paper, we give a formula for the dimension of the variety corresponding to a triangle-free level-1 phylogenetic network under a group-based evolutionary model. On our way to this, we give a dimension formula for codimension zero toric fiber products. We conclude by illustrating applications to identifiability. 
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  4. ; ; ; (, SIAM Review)
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  5. ; ; ; ; (, Advances in Applied Mathematics)
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  6. ; ; ; ; ; ; ; ; ; ; et al (, Algebraic Statistics)
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  7. ; ; ; ; ; ; ; ; ; ; et al (, Journal of the American Chemical Society)
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  8. ; ; (, Advances in Applied Mathematics)
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  9. ; (, Discrete Mathematics)
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  10. ; ; ; ; ; (, Journal of Mathematical Biology)
    Abstract Phylogenetic networks can represent evolutionary events that cannot be described by phylogenetic trees. These networks are able to incorporate reticulate evolutionary events such as hybridization, introgression, and lateral gene transfer. Recently, network-based Markov models of DNA sequence evolution have been introduced along with model-based methods for reconstructing phylogenetic networks. For these methods to be consistent, the network parameter needs to be identifiable from data generated under the model. Here, we show that the semi-directed network parameter of a triangle-free, level-1 network model with any fixed number of reticulation vertices is generically identifiable under the Jukes–Cantor, Kimura 2-parameter, or Kimura 3-parameter constraints. 
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