Graduate Student Publications

Cashous Bortner, Seth Sullivant. Structural Identifiability of Series-Parallel LCR Systems. Journal of Symbolic Computation, Volume 112, September–October 2022, Pages 79-104.
https://arxiv.org/abs/2107.06271

Jane Ivy Coons, Orlando Marigliano and Michael Ruddy. Maximum likelihood degree of the two-dimensional linear Gaussian covariance model. Algebraic Statistics 11-2 (2020), 107-123.
https://arxiv.org/abs/1909.04553

Ben Hollering, Seth Sullivant. Exchangeable and sampling consistent distributions on rooted binary trees. Journal of Applied Probability 59 (2022) no. 1, 60-80. https://arxiv.org/abs/1902.03321

Ben Hollering, Seth Sullivant. Discrete Max-Linear Bayesian Networks. Algebraic Statistics Vol. 12 (2021), No. 2, 213–225
https://arxiv.org/abs/2102.03426

Carlos Améndola, Ben Hollering, Seth Sullivant, Ngoc Tran. Markov Equivalence of Max-Linear Bayesian Networks. Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, PMLR 161:1746-1755, 2021.
https://arxiv.org/abs/2106.08305

Ben Hollering, Seth Sullivant. Identifiability in Phylogenetics using Algebraic Matroids. Journal of Symbolic Computation 104 (2021),142–158.
https://arxiv.org/abs/1909.13754