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Profil bibliographique

Paul O. Lewis

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

95Publications signalées
11985Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Genomics and Phylogenetic StudiesGenetic diversity and population structureEvolution and Paleontology StudiesPlant and animal studiesBayesian Methods and Mixture Models

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

How much information is there for inferring species trees?

Analisa Milkey, Jessica Chen, Paul O. Lewis

A bstract As modern phylogenomics datasets become increasingly large, it is useful to develop recommendations for how to subsample datasets for best species tree inference. Here we apply a new measure of phylogenetic information content that estimates the reduction in tree space …

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0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 preprint OpenAlex

Estimating Bayesian Phylogenetic Information Content Using Geodesic Distances

Analisa Milkey, Paul O. Lewis

A bstract A new Bayesian measure of phylogenetic information content is introduced based on geodesic distances in treespace. The measure is based on the relative variance of phylogenetic trees sampled from the posterior distribution compared to the prior distribution. This ratio is …

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0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 article OpenAlex

A Comparison of Monte Carlo Based Marginal Likelihood Estimators

Aolan Li, Pang-Yu Liu, Yu‐Bo Wang, Analisa Milkey et autres

ABSTRACT Marginal likelihood plays a central role in Bayesian model comparison and hypothesis testing, but its computation is often challenging in practice. This article reviews recent Monte Carlo methods that rely on the availability of Markov chain Monte Carlo (MCMC) samples from …

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1 citation Wiley Interdisciplinary Reviews Computational Statistics
Accès ouvert 2025 preprint OpenAlex

The Sequential Multispecies Coalescent

Analisa Milkey, Ming‐Hui Chen, Yübo Wang, Aolan Li et autres

Abstract The multispecies coalescent (MSC) model applies coalescent theory to gene evolution within and among reproductively isolated populations (“species”) to estimate a species tree in the face of gene tree conflict resulting from deep coalescence. Sequential Monte Carlo (SMC) uses particle filtering …

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1 citation bioRxiv (Cold Spring Harbor Laboratory)
2023 article OpenAlex

LoRaD: Marginal likelihood estimation with haste (but no waste)

Yübo Wang, Analisa Milkey, Aolan Li, Ming‐Hui Chen et autres

The Lowest Radial Distance (LoRaD) method is a modification of the recently introduced Partition-Weighted Kernel method for estimating the marginal likelihood of a model, a quantity important for Bayesian model selection. For analyses involving a fixed tree topology, LoRaD improves upon the …

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1 citation Systematic Biology
Accès ouvert 2022 article OpenAlex

Lessons learned from organizing and teaching virtual phylogenetics workshops - Supplementary materials

Joëlle Barido‐Sottani, Joshua Justison, Rui Borges, Jeremy M. Brown et autres

Supplementary materials for the journal article "Lessons learned from organizing and teaching virtual phylogenetics workshops", published in the Bulletin of the Society of Systematic Biology, 2022.

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0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2022 article OpenAlex

An experimental test of Lanchester's models of combat in the neotropical termite Nasutitermes corniger (Blattodea: Termitidae)

Elizabeth M. Clifton, Paul O. Lewis, Elizabeth L. Jockusch, Eldridge S. Adams

Lanchester's models of combat have been invoked to explain the mechanics of group fighting in social animals. Specifically, Lanchester's square law posits that the fighting ability of the group is proportional to the square of the number of combatants. Although used to …

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4 citations Proceedings of the Royal Society B Biological Sciences
Accès ouvert 2022 preprint OpenAlex

Lessons learned from organizing and teaching virtual phylogenetics workshops

Joëlle Barido‐Sottani, Joshua Justison, Rui Borges, Jeremy M. Brown et autres

In 2020 and 2021, the COVID-19 pandemic led to an abrupt overhaul of many academic practices, including the transition of scientific events, such as workshops, to a fully virtual format. We describe our experiences organizing and teaching online-only statistical phylogenetics workshops and …

0 citations

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