1 citations · 1 across the 5 of their papers we have counts for
6 papers
Singular Learning Theory for Factor Analysis
Mathias Drton, Elizabeth Gross, Dimitra Kosta +4
Watanabe's singular learning theory provides a framework for asymptotic analysis of Bayesian model selection for statistical models with singularities, where traditional statistica…
Identifiability of Large Phylogenetic Mixtures for Many Phylogenetic Model Structures
Bryson Kagy, Seth Sullivant
Identifiability of phylogenetic models is a necessary condition to ensure that the model parameters can be uniquely determined from data. Mixture models are phylogenetic models whe…
Phylogenetic network models as graphical models
Seth Sullivant
The displayed tree phylogenetic network model is shown to sit as a natural submodel of the graphical model associated to a directed acyclic graph (DAG). This representation allows…
Lattice supported distributions and graphical models
Thomas Kahle, Seth Sullivant
For the distributions of finitely many binary random variables, we study the interaction of restrictions of the supports with conditional independence constraints. We prove a gener…
The Codegree, Weak Maximum Likelihood Threshold, and the Gorenstein Property of Hierarchical Models
Joseph Johnson, Seth Sullivant
The codegree of a lattice polytope is the smallest integer dilate that contains a lattice point in the relative interior. The weak maximum likelihood threshold of a statistical mod…
Identifiability of 2-tree mixtures for group-based models
Elizabeth S. Allman, Sonja Petrović, John A. Rhodes +1
Phylogenetic data arising on two possibly different tree topologies might be mixed through several biological mechanisms, including incomplete lineage sorting or horizontal gene tr…