activity
20242026
collaborators

5 papers

stat.ME2026

Matrix representations and distance metrics for unlabeled ranked phylogenetic networks

Jiayang Wang, Julia A. Palacios, Claudia Solís-Lemus

Phylogenetic networks are graphs inferred from molecular sequence data that represent ancestral histories shaped by reticulate processes such as recombination, hybridization, and h…

q-bio.PE2026

Generalizing matrix representations to fully heterochronous ranked tree shapes

Chris Jennings-Shaffer, Ziyue, Chen +2

Phylogenetic tree shapes capture fundamental signatures of evolution. We consider ``ranked'' tree shapes, which are equipped with a total order on the internal nodes compatible wit…

stat.ME2025

Coalescent Inference for Epidemics with Latent Periods

Isaac H. Goldstein, Julia A. Palacios

Coalescent models are used to study the transmission dynamics of rapidly evolving pathogens from molecular sequence data obtained from infected individuals. However coalescent para…

math.PR2025

The space of multifurcating ranked tree shapes: enumeration, lattice structure, and Markov chains

Julie Zhang, Noah A. Rosenberg, Julia A. Palacios

Coalescent models of bifurcating genealogies are used to infer evolutionary parameters from molecular data. However, there are many situations where bifurcating genealogies do not…

stat.AP2024

Multiple merger coalescent inference of effective population size

Julie Zhang, Julia A. Palacios

Variation in a sample of molecular sequence data informs about the past evolutionary history of the sample's population. Traditionally, Bayesian modeling coupled with the standard…