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Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data
Annals of Applied Statistics (AOAS), 2017
14 February 2017
B. Hejblum
Chariff Alkhassim
R. Gottardo
François Caron
R. Thiébaut
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Papers citing
"Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data"
3 / 3 papers shown
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia
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Jean-Philippe Vial
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Aguirre Mimoun
250
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24 Jul 2024
Multi-Node EM Algorithm for Finite Mixture Models
Sharon X. Lee
Geoffrey J. McLachlan
Kaleb L. Leemaqz
MoE
72
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14 May 2020
A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions
Yuan Fang
D. Karlis
Sanjeena Subedi
109
2
0
06 May 2020
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