On Gibbs Sampling for Endpoint-Conditioned Neighbor-Dependent Sequence Evolution Models
Publication
, Journal Article
Li, Y; Mathews, J; Schmidler, SC
Published in: Journal of Computational and Graphical Statistics
January 1, 2025
In 2008, Hobolth described an algorithm for sampling paths in models of DNA sequence evolution with neighbor dependence. We show that this algorithm fails to sample the desired target distribution, and provide a simple Metropolis acceptance step correction. We also compare to a simpler Metropolis proposal, which appears to be more efficient and which we recommend instead. We demonstrate the impact of the correction on a parameter estimation problem studied in the original paper.
Duke Scholars
Published In
Journal of Computational and Graphical Statistics
DOI
EISSN
1537-2715
ISSN
1061-8600
Publication Date
January 1, 2025
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 1403 Econometrics
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Li, Y., Mathews, J., & Schmidler, S. C. (2025). On Gibbs Sampling for Endpoint-Conditioned Neighbor-Dependent Sequence Evolution Models. Journal of Computational and Graphical Statistics. https://doi.org/10.1080/10618600.2025.2560621
Li, Y., J. Mathews, and S. C. Schmidler. “On Gibbs Sampling for Endpoint-Conditioned Neighbor-Dependent Sequence Evolution Models.” Journal of Computational and Graphical Statistics, January 1, 2025. https://doi.org/10.1080/10618600.2025.2560621.
Li Y, Mathews J, Schmidler SC. On Gibbs Sampling for Endpoint-Conditioned Neighbor-Dependent Sequence Evolution Models. Journal of Computational and Graphical Statistics. 2025 Jan 1;
Li, Y., et al. “On Gibbs Sampling for Endpoint-Conditioned Neighbor-Dependent Sequence Evolution Models.” Journal of Computational and Graphical Statistics, Jan. 2025. Scopus, doi:10.1080/10618600.2025.2560621.
Li Y, Mathews J, Schmidler SC. On Gibbs Sampling for Endpoint-Conditioned Neighbor-Dependent Sequence Evolution Models. Journal of Computational and Graphical Statistics. 2025 Jan 1;
Published In
Journal of Computational and Graphical Statistics
DOI
EISSN
1537-2715
ISSN
1061-8600
Publication Date
January 1, 2025
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 1403 Econometrics
- 0104 Statistics