Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models

DOI10.1214/20-AOAS1394zbMath1475.62273arXiv1912.09185WikidataQ115021793 ScholiaQ115021793MaRDI QIDQ2233162

Paul Bastide, Rebecca P. Payne, Philip Goulder, Philippe Lemey, Marc A. Suchard, Xiang Ji, Akihiko Nishimura, Zhen-yu Zhang

Publication date: 14 October 2021

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

Full work available at URL: https://arxiv.org/abs/1912.09185

zbMATH Keywords

dynamic programmingprobit modelsBayesian phylogeneticsbouncy particle samplerHIV evolution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (5)

Statistical challenges in tracking the evolution of SARS-CoV-2 ⋮ Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results ⋮ Implicit Copula Variational Inference ⋮ Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference ⋮ Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models

Uses Software

• bfa
• Stan
• BayesDA
• NUTS

Cites Work

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