activity
20002025
most citedPrincipal components analysis in the space of phylogenetic trees

61 citations · 146 across the 13 of their papers we have counts for

collaborators

15 papers

stat.ME2025

Brownian motion, bridges and Bayesian inference in phylogenetic tree space

William M. Woodman, Tom M. W. Nye

Billera-Holmes-Vogtmann (BHV) tree space is a geodesic metric space of edge-weighted phylogenetic trees with a fixed leaf set. Constructing parametric distributions on this space i…

q-bio.PE2024

Statistics for Phylogenetic Trees in the Presence of Stickiness

Lars Lammers, Tom M. W. Nye, Stephan F. Huckemann

Samples of phylogenetic trees arise in a variety of evolutionary and biomedical applications, and the Fréchet mean in Billera-Holmes-Vogtmann tree space is a summary tree shown to…

math.ST2023

Types of Stickiness in BHV Phylogenetic Tree Spaces and Their Degree

Lars Lammers, Do Tran Van, Tom M. W. Nye +1

It has been observed that the sample mean of certain probability distributions in Billera-Holmes-Vogtmann (BHV) phylogenetic spaces is confined to a lower-dimensional subspace for…

math.ST2022★ 1 cited

Foundations of the Wald Space for Phylogenetic Trees

Jonas Lueg, Maryam K. Garba, Tom M. W. Nye +1

Evolutionary relationships between species are represented by phylogenetic trees, but these relationships are subject to uncertainty due to the random nature of evolution. A geomet…

stat.AP2021

A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant

Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye +4

Proper function of a wastewater treatment plant (WWTP) relies on maintaining a delicate balance between a multitude of competing microorganisms. Gaining a detailed understanding of…

q-bio.PE2020

Incorporating compositional heterogeneity into Lie Markov models for phylogenetic inference

Naomi E. Hannaford, Sarah E. Heaps, Tom M. W. Nye +2

Phylogenetics uses alignments of molecular sequence data to learn about evolutionary trees. Substitutions in sequences are modelled through a continuous-time Markov process, charac…