Bayesian hidden Markov model for DNA sequence segmentation: a prior sensitivity analysis

DOI10.1016/J.CSDA.2008.07.007zbMath1453.62168OpenAlexW2015373627WikidataQ56994558 ScholiaQ56994558MaRDI QIDQ961377

Kerrie L. Mengersen, David Allingham, Judith Rousseau, Darfiana Nur, Ross S. McVinish

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.07.007

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Protein sequences, DNA sequences (92D20)

Related Items (5)

Efficient sensitivity analysis in hidden Markov models ⋮ Bayesian hidden Markov models in DNA sequence segmentation using R: the case of Simian Vacuolating virus (SV40) ⋮ About the posterior distribution in hidden Markov models with unknown number of states ⋮ Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide ⋮ Sensitivity analysis beyond linearity

Uses Software

• WinBUGS
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Markov chains and stochastic stability
• Stochastic models for heterogeneous DNA sequences
• Bayesian computation and stochastic systems. With comments and reply.
• Use in practice of importance sampling for repeated MCMC for Poisson models
• A Bayesian Approach to DNA Sequence Segmentation
• Biological Sequence Analysis
• Detecting Homogeneous Segments in DNA Sequences by Using Hidden Markov Models
• Statistical methods for DNA sequence segmentation

This page was built for publication: Bayesian hidden Markov model for DNA sequence segmentation: a prior sensitivity analysis