2 citations · 4 across the 6 of their papers we have counts for
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q-bio.PE2007★ 1 cited
Markov models for accumulating mutations
Niko Beerenwinkel, Seth Sullivant
We introduce and analyze a waiting time model for the accumulation of genetic changes. The continuous time conjunctive Bayesian network is defined by a partially ordered set of mut…
math.AG2007★ 1 cited
Algebraic geometry of Gaussian Bayesian networks
Seth Sullivant
Conditional independence models in the Gaussian case are algebraic varieties in the cone of positive definite covariance matrices. We study these varieties in the case of Bayesian…
math.PR2007
Gaussian conditional independence relations have no finite complete characterization
Seth Sullivant
We show that there can be no finite list of conditional independence relations which can be used to deduce all conditional independence implications among Gaussian random variables…