2 citations · 2 across the 2 of their papers we have counts for
3 papers
math.ST2021★ 2 cited
Markov Equivalence of Max-Linear Bayesian Networks
Carlos Améndola, Ben Hollering, Seth Sullivant +1
Max-linear Bayesian networks have emerged as highly applicable models for causal inference via extreme value data. However, conditional independence (CI) for max-linear Bayesian ne…
math.CO2019
Identifiability in Phylogenetics using Algebraic Matroids
Benjamin Hollering, Seth Sullivant
Identifiability is a crucial property for a statistical model since distributions in the model uniquely determine the parameters that produce them. In phylogenetics, the identifiab…
math.CO2019
Exchangeable and Sampling Consistent Distributions on Rooted Binary Trees
Ben Hollering, Seth Sullivant
We introduce a notion of finite sampling consistency for phylogenetic trees and show that the set of finitely sampling consistent and exchangeable distributions on n leaf phylogene…