Bayesian hidden Markov models in DNA sequence segmentation using R: the case of Simian Vacuolating virus (SV40)
DOI10.1080/00949655.2017.1344666zbMath1492.62177OpenAlexW2729978075WikidataQ105876935 ScholiaQ105876935MaRDI QIDQ5106975
James A. Totterdell, Kerrie L. Mengersen, Darfiana Nur
Publication date: 22 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2017.1344666
hidden Markov modelsdata augmentationDNA sequenceBayesian modellingGibbs sampler algorithmlabel switching algorithmsegmentation modellingSimian Vacuolating virus (SV40)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Numerical analysis or methods applied to Markov chains (65C40)
Uses Software
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