Inference of demographic history from genealogical trees using reversible jump Markov chain Monte Carlo

Inference of demographic history from genealogical trees using reversible jump Markov chain Monte Carlo

<p>Abstract</p> <p>Background</p> <p>Coalescent theory is a general framework to model genetic variation in a population. Specifically, it allows inference about population parameters from sampled DNA sequences. However, most currently employed variants of coalescent th...

Full description

Bibliographic Details
Main Authors:	Fahrmeir Ludwig, Opgen-Rhein Rainer, Strimmer Korbinian
Format:	Article
Language:	English
Published:	BMC 2005-01-01
Series:	BMC Evolutionary Biology
Online Access:	http://www.biomedcentral.com/1471-2148/5/6

Similar Items

Reversible jump Markov chain Monte Carlo and inference for ion channel data
by: Hodgson, Matthew E. A.
Published: (1998)

Reversible Jump Markov Chain Monte Carlo
by: Neuhoff, Daniel
Published: (2016)

Aspects of population Markov chain Monte Carlo and reversible jump Markov chain Monte Carlo
by: Bakra, Eleni
Published: (2009)

Towards automatic reversible jump Markov Chain Monte Carlo
by: Hastie, David
Published: (2005)

Via Reversible Jump Markov Chain Monte Carlo in clustering detection.
by: Yu-Kang Peng, et al.
Published: (2010)

An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations
by: W. M. Farr, et al.
Published: (2015-01-01)

An efficient interpolation technique for jump proposals in reversible-jump Markov chain Monte Carlo calculations
by: Farr, W. M., et al.
Published: (2016)

On the application of the reversible jump Markov chain Monte Carlo method within structural dynamics
by: Tiboaca, Oana D.
Published: (2016)

Bayesian analysis of lidar signals using reversible jump Markov chain Monte Carlo algorithms
by: Hernandez-Marin, Sergio
Published: (2007)

CU-MSDSp: A flexible parallelized Reversible jump Markov chain Monte Carlo method
by: John Taylor Chavis, III, et al.
Published: (2021-06-01)

A reversible jump Markov chain Monte Carlo approach to hazard estimation for competing risks data
by: Bradley, Jeremy
Published: (2002)

Perceptual multistability as Markov Chain Monte Carlo inference
by: Gershman, Samuel J., et al.
Published: (2017)

AISRJMCMC - Annealed Importance Sampling within Reversible Jump Markov Chain Monte Carlo algorithm : a pseudo-marginal reversible jump MCMC algorithm
by: Karagiannis, Georgios
Published: (2011)

Sequential Monte Carlo methods for demographic inference
by: Henderson, Donna
Published: (2017)

Markov Chain Monte Carlo and Non-Reversible Methods
by: Xu, Jason Qian
Published: (2012)

On the inference of complex phylogenetic networks by Markov Chain Monte-Carlo
by: Berry, V., et al.
Published: (2021)

Estimation of trace gas fluxes with objectively determined basis functions using reversible-jump Markov chain Monte Carlo
by: M. F. Lunt, et al.
Published: (2016-09-01)

Procedural Reconstruction of 3D Indoor Models from Lidar Data Using Reversible Jump Markov Chain Monte Carlo
by: Ha Tran, et al.
Published: (2020-03-01)

On a Selection of Advanced Markov Chain Monte Carlo Algorithms for Everyday Use: Weighted Particle Tempering, Practical Reversible Jump, and Extensions
by: Carzolio, Marcos Arantes
Published: (2016)

Markov Chain Monte Carlo Used in Parameter Inference of Magnetic Resonance Spectra
by: Kiel Hock, et al.
Published: (2016-02-01)

Markov chain Monte Carlo methodoloy for inference with generalised linear spatial models
by: Lampaki, Ioanna
Published: (2016)

Investigating Convergence of Markov Chain Monte Carlo Methods for Bayesian Phylogenetic Inference
by: Spade, David Allen
Published: (2013)

From the jungle to the garden : growing trees for Markov chain Monte Carlo inference in undirected graphical models
by: Rivasseau, Jean-Noël
Published: (2009)

On the Reversible Jump Markov Chain Monte Carlo (RJMCMC) Algorithm for Extreme Value Mixture Distribution as a Location-Scale Transformation of the Weibull Distribution
by: Dwi Rantini, et al.
Published: (2021-08-01)

Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods
by: Demiris, Nikolaos
Published: (2004)

Full Bayesian boolean network inference based on Markov chain Monte Carlo algorithms.
Published: (2012)

Etymologia: Markov Chain Monte Carlo
by: Ronnie Henry
Published: (2019-12-01)

Particle Markov chain Monte Carlo
by: Holenstein, Roman
Published: (2009)

Particle Markov chain Monte Carlo
by: Holenstein, Roman
Published: (2009)

Particle Markov chain Monte Carlo
by: Holenstein, Roman
Published: (2009)

Phylogenetic tree construction using markov chain monte carlo /
by: Li, Shuying
Published: (1996)

A reversible jump markov chain Monte Carlo inversion method for layering and amplitude of seismic velocity variations : an application to 1-D structure of the lower mantle
by: Ravenna, Matteo
Published: (2009)

Some Monte Carlo methods for jump diffusions
by: Pollock, Murray
Published: (2013)

Demographic inference from multiple whole genomes using a particle filter for continuous Markov jump processes.
by: Donna Henderson, et al.
Published: (2021-01-01)

Markov chain Monte Carlo and its applications to phylogenetic tree construction
by: Luczynska, Marta Magdalena
Published: (2011)

MCMCpack: Markov Chain Monte Carlo in R
by: Andrew D. Martin, et al.
Published: (2011-08-01)

Markov Chain Monte Carlo and sampling efficiency
by: Han, Xiao-liang
Published: (1992)

Convergence diagnostics for Markov Chain Monte Carlo
by: Brooks, Stephen Peter
Published: (1996)

Advances in Markov chain Monte Carlo methods
by: Murray, Iain Andrew
Published: (2007)

Markov chain Monte Carlo algorithm comparisons
by: Wen, Sijin
Published: (2009)

Cannot write session to /tmp/vufind_sessions/sess_sjnqcbn4foh03c53oq64ttqort