Assessing phenotypic correlation through the multivariate phylogenetic latent liability model

DOI10.1214/15-AOAS821zbMath1454.62324arXiv1406.3863WikidataQ36763244 ScholiaQ36763244MaRDI QIDQ746692

Alison E. Mather, Gabriela B. Cybis, Janet S. Sinsheimer, Marc A. Suchard, Philippe Lemey, Trevor Bedford

Publication date: 28 October 2015

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1406.3863

zbMATH Keywords

evolutionthreshold modelBayesian phylogeneticsgenotype-phenotype correlation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Inferring Phenotypic Trait Evolution on Large Trees With Many Incomplete Measurements ⋮ Statistical challenges in tracking the evolution of SARS-CoV-2 ⋮ Massive Parallelization Boosts Big Bayesian Multidimensional Scaling ⋮ Modelling the covariance structure in marginal multivariate count models: hunting in Bioko Island ⋮ Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models ⋮ Efficient Bayesian inference of general Gaussian models on large phylogenetic trees ⋮ Fast likelihood calculation for multivariate Gaussian phylogenetic models with shifts ⋮ Assessing phenotypic correlation through the multivariate phylogenetic latent liability model

Uses Software

• fastDNAml
• phytools
• BEAST
• BEAUti

Cites Work

• Unnamed Item
• Assessing phenotypic correlation through the multivariate phylogenetic latent liability model
• Brownian models and coalescent structures
• Random sampling from a truncated multivariate normal distribution
• The Multiple-Try Method and Local Optimization in Metropolis Sampling

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