activity
20132025
most citedAsymptotic theory with hierarchical autocorrelation: Ornstein-Uhlenbeck tree models

53 citations · 86 across the 29 of their papers we have counts for

collaborators
Showing q-bio.PEShow all

10 papers · 1 filter

q-bio.PE2023

Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model

Wensha Zhang, Lam Si Tung Ho, Toby Kenney

Sudden changes in environmental conditions can lead to evolutionary shifts not only in the optimal trait value, but also in the diffusion variance under the Ornstein-Uhlenbeck (OU)…

q-bio.PE2022

When can we reconstruct the ancestral state? Beyond Brownian motion

Nhat L. Vu, Thanh P. Nguyen, Binh T. Nguyen +2

Reconstructing the ancestral state of a group of species helps answer many important questions in evolutionary biology. Therefore, it is crucial to understand when we can estimate…

q-bio.PE2022

Evolutionary shift detection with ensemble variable selection

Wensha Zhang, Toby Kenney, Lam Si Tung Ho

1. Abrupt environmental changes can lead to evolutionary shifts in trait evolution. Identifying these shifts is an important step in understanding the evolutionary history of pheno…

q-bio.PE2021

When can we reconstruct the ancestral state? A unified theory

Lam Si Tung Ho, Vu Dinh

Ancestral state reconstruction is one of the most important tasks in evolutionary biology. Conditions under which we can reliably reconstruct the ancestral state have been studied…

q-bio.PE2021

Convergence of maximum likelihood supertree reconstruction

Lam Si Tung Ho, Vu Dinh

Supertree methods are tree reconstruction techniques that combine several smaller gene trees (possibly on different sets of species) to build a larger species tree. The question of…

q-bio.PE2019

On the convergence of the maximum likelihood estimator for the transition rate under a 2-state symmetric model

Lam Si Tung Ho, Vu Dinh, Frederick A. Matsen +1

Maximum likelihood estimators are used extensively to estimate unknown parameters of stochastic trait evolution models on phylogenetic trees. Although the MLE has been proven to co…

q-bio.PE2016

Consistency and convergence rate of phylogenetic inference via regularization

Vu Dinh, Lam Si Tung Ho, Marc A. Suchard +1

It is common in phylogenetics to have some, perhaps partial, information about the overall evolutionary tree of a group of organisms and wish to find an evolutionary tree of a spec…

q-bio.PE2015

A Relaxed Drift Diffusion Model for Phylogenetic Trait Evolution

Mandev S. Gill, Lam Si Tung Ho, Guy Baele +2

Understanding the processes that give rise to quantitative measurements associated with molecular sequence data remains an important issue in statistical phylogenetics. Examples of…

q-bio.PE2014

Bounds on the Expected Size of the Maximum Agreement Subtree

Daniel Irving Bernstein, Lam Si Tung Ho, Colby Long +3

We prove polynomial upper and lower bounds on the expected size of the maximum agreement subtree of two random binary phylogenetic trees under both the uniform distribution and Yul…

q-bio.PE2014

Phase transition on the convergence rate of parameter estimation under an Ornstein-Uhlenbeck diffusion on a tree

Cécile Ané, Lam Si Tung Ho, Sebastien Roch

Diffusion processes on trees are commonly used in evolutionary biology to model the joint distribution of continuous traits, such as body mass, across species. Estimating the param…