Huizi Zhang

PhD Student


Curriculum vitae



School of Mathematics

The University of Edinburgh



Bayesian hierarchical mixture models for detecting non-normal clusters applied to noisy genomic and environmental datasets


Journal article


Huizi Zhang, Ben Swallow, Mayetri Gupta
Australian \& New Zealand Journal of Statistics, vol. 64, 2022, pp. 313-337


Cite

Cite

APA   Click to copy
Zhang, H., Swallow, B., & Gupta, M. (2022). Bayesian hierarchical mixture models for detecting non-normal clusters applied to noisy genomic and environmental datasets. Australian \&Amp; New Zealand Journal of Statistics, 64, 313–337. https://doi.org/10.1111/anzs.12370


Chicago/Turabian   Click to copy
Zhang, Huizi, Ben Swallow, and Mayetri Gupta. “Bayesian Hierarchical Mixture Models for Detecting Non-Normal Clusters Applied to Noisy Genomic and Environmental Datasets.” Australian \& New Zealand Journal of Statistics 64 (2022): 313–337.


MLA   Click to copy
Zhang, Huizi, et al. “Bayesian Hierarchical Mixture Models for Detecting Non-Normal Clusters Applied to Noisy Genomic and Environmental Datasets.” Australian \&Amp; New Zealand Journal of Statistics, vol. 64, 2022, pp. 313–37, doi:10.1111/anzs.12370.


BibTeX   Click to copy

@article{zhang2022a,
  title = {Bayesian hierarchical mixture models for detecting non-normal clusters applied to noisy genomic and environmental datasets},
  year = {2022},
  journal = {Australian \& New Zealand Journal of Statistics},
  pages = {313-337},
  volume = {64},
  doi = {10.1111/anzs.12370},
  author = {Zhang, Huizi and Swallow, Ben and Gupta, Mayetri}
}


Share

Tools
Translate to