1 citations · 1 across the 4 of their papers we have counts for
4 papers
Rates of forgetting for the sequentially Markov coalescent
Jonathan Terhorst
The sequentially Markov coalescent (SMC) is a Markov jump process which models correlations in local genealogies across a chromosome. It has been used as a theoretical tool for stu…
Pair-based estimators of infection and removal rates for stochastic epidemic models
Seth D. Temple, Jonathan Terhorst
Stochastic epidemic models can estimate infection and removal rates, and derived quantities such as the basic reproductive number (), when both infection and removal times are…
Dirichlet moment tensors and the correspondence between admixture and mixture of product models
Dat Do, Sunrit Chakraborty, Jonathan Terhorst +1
Understanding posterior contraction behavior in Bayesian hierarchical models is of fundamental importance, but progress in this question is relatively sparse in comparison to the t…
Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models
Dat Do, Linh Do, Scott A. McKinley +2
We present a new way to summarize and select mixture models via the hierarchical clustering tree (dendrogram) constructed from an overfitted latent mixing measure. Our proposed met…