Cited by 51Bayesian Methods and Mixture ModelsAdvanced Clustering Algorithms ResearchStatistical Distribution Estimation and Applications

Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions

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Subedi, Sanjeena, McNicholas, Paul D.·2014·Advances in Data Analysis and Classification

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Crossref · 10.1007/s11634-014-0165-7

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61 of 61 references verified0 citation errors · 0 not checkable

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  • Differences in marker expression were tested for significant effects of condition, timepoint, and condition-time interactions by 2-way ANOVA; raw F test null probability p values were adjusted for multiple comparisons by the Benjamini-Hochberg procedure with a false discovery rate of 0.05.

    “Differences in marker expression were tested for significant effects of condition, timepoint, and condition-time interactions by 2-way ANOVA; raw F test null probability p values were adjusted for multiple comparisons by the Benjamini-Hochberg procedure with a false discovery rate of 0.05 in R version 3.4.230.”

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Authors
Subedi, S., & McNicholas, P. D.
Affiliations
University of Guelph (CA)
Corresponding author
Subedi, Sanjeena
Venue
Advances in Data Analysis and Classification
Published
2014-02-24
Volume
8
Issue
2
Pages
167-193
ISSN
  • 1862-5355 (ISSN-L)
  • 1862-5347
OpenAlex
W1964231120
Cited by
51
References
64
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 12 · 2019: 3 · 2018: 5 · 2017: 6 · 2016: 5 · 2015: 7 · 2013: 1
FWCI
5.98
Type
journal article
Language
en
Open access
Locations
  • Advances in Data Analysis and Classification (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Methods and Mixture Models
  • Physical Sciences › Computer Science › Artificial Intelligence › Advanced Clustering Algorithms Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
Keywords
variational inference, model-based clustering, normal inverse Gaussian distribution, mixture models, parameter estimation, variational algorithms

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