23 citations · 31 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
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…
Accounting for reporting delays in real-time phylodynamic analyses with preferential sampling
Catalina M. Medina, Julia A. Palacios, Volodymyr M. Minin
The COVID-19 pandemic demonstrated that fast and accurate analysis of continually collected infectious disease surveillance data is crucial for situational awareness and policy mak…
Exact Bayesian Gaussian Cox Processes Using Random Integral
Bingjing Tang, Julia Palacios
A Gaussian Cox process is a popular model for point process data, in which the intensity function is a transformation of a Gaussian process. Posterior inference of this intensity f…
Scalable Bayesian change point detection with spike and slab priors
Lorenzo Cappello, Oscar Hernan Madrid Padilla, Julia A. Palacios
We study the use of spike and slab priors for consistent estimation of the number of change points and their locations. Leveraging recent results in the variable selection literatu…
Statistical summaries of unlabelled evolutionary trees and ranked hierarchical clustering trees
Samyak Rajanala, Julia A. Palacios
Rooted and ranked binary trees are mathematical objects of great importance used to model hierarchical data and evolutionary relationships with applications in many fields includin…