A Bayesian approach to modelling reticulation events with application to the ribosomal protein gene rps11 of flowering plants
type: Item
instance of: scholarly article
zbMATH Open document ID: 1336.62025
author: Rosalba Radice
publication date: 2016-04-27T00:00:00Z
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 92D10
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 6574307
zbMATH Keywords: Bayesian analysis
zbMATH Keywords: Markov chain Monte Carlo
zbMATH Keywords: network
zbMATH Keywords: phylogenetics
zbMATH Keywords: reticulation event
describes a project that uses: GMRFLib
describes a project that uses: Seq-Gen
describes a project that uses: fastDNAml
describes a project that uses: MrBayes
MaRDI profile type: Publication
cites work: Q4092750
cites work: Detecting Homogeneous Segments in DNA Sequences by Using Hidden Markov Models
cites work: Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
cites work: Practical Markov Chain Monte Carlo
full work available at URL: j.1467-842x.2012.00686.x
OpenAlex ID: W2109590499
DOI: 10.1111/J.1467-842X.2012.00686.X
title: A Bayesian approach to modelling reticulation events with application to the ribosomal protein gene rps11 of flowering plants
published in: Australian \& New Zealand Journal of Statistics
description: scientific article; zbMATH DE number 6574307