Comparing the performance of a reversible jump Markov chain Monte Carlo algorithm for DNA sequences alignment

DOI10.1080/10629360500109226zbMath1090.62119OpenAlexW2055516450MaRDI QIDQ5475364

Eliane R. Rodrigues, Nancy L. Garcia, Luis Javier Alvarez

Publication date: 16 June 2006

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10629360500109226

zbMATH Keywords

hidden Markov modelPotts modelBayesian inferencereversible jump Markov chain Monte Carlo methodsequences alignment

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biochemistry, molecular biology (92C40) Numerical analysis or methods applied to Markov chains (65C40)

Cites Work

• Unnamed Item
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Stochastic models for heterogeneous DNA sequences
• Bayesian Models for Multiple Local Sequence Alignment and Gibbs Sampling Strategies
• A Bayesian Approach to DNA Sequence Segmentation
• Hidden Markov chains and the analysis of genome structure
• Estimation and Reliability of Molecular Sequence Alignments
• Bayesian Inference in Hidden Markov Models Through the Reversible Jump Markov Chain Monte Carlo Method

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