activity
20042022
most citedIdentifiability of parameters in latent structure models with many observed variables

466 citations · 553 across the 25 of their papers we have counts for

collaborators

32 papers

math.ST2022★ 3 cited

A generalized AIC for models with singularities and boundaries

Jonathan D. Mitchell, Elizabeth S. Allman, John A. Rhodes

The Akaike information criterion (AIC) is a common tool for model selection. It is frequently used in violation of regularity conditions at parameter space singularities and bounda…

math.ST2022

Parameter Identifiability of a Multitype Pure-Birth Model of Speciation

Dakota Dragomir, Elizabeth S. Allman, John A. Rhodes

Diversification models describe the random growth of evolutionary trees, modeling the historical relationships of species through speciation and extinction events. One class of suc…

q-bio.PE2022

The Tree of Blobs of a Species Network: Identifiability under the Coalescent

Elizabeth S. Allman, Hector Baños, Jonathan D. Mitchell +1

Inference of species networks from genomic data under the Network Multispecies Coalescent Model is currently severely limited by heavy computational demands. It also remains unclea…

q-bio.PE2021

Identifiability of species network topologies from genomic sequences using the logDet distance

Elizabeth S. Allman, Hector Baños, John A. Rhodes

Inference of network-like evolutionary relationships between species from genomic data must address the interwoven signals from both gene flow and incomplete lineage sorting. The h…

q-bio.PE2020

Parameter identifiability for a profile mixture model of protein evolution

Samaneh Yourdkhani, Elizabeth S. Allman, John A. Rhodes

A Profile Mixture Model is a model of protein evolution, describing sequence data in which sites are assumed to follow many related substitution processes on a single evolutionary…

q-bio.PE2019

Testing Multispecies Coalescent Simulators using Summary Statistics

Elizabeth S. Allman, Hector Baños, John A. Rhodes

As genomic scale datasets motivate research on species tree inference, simulators of the multispecies coalescent (MSC) process are essential for the testing and evaluation of new i…