A mixture of mixture models for a classification problem: the unity measure error
From MaRDI portal
Publication:1019886
DOI10.1016/j.csda.2006.01.001zbMath1161.62373OpenAlexW1978692121MaRDI QIDQ1019886
Marco Di Zio, Ugo Guarnera, Roberto Rocci
Publication date: 29 May 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2006.01.001
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (9)
Fitting insurance and economic data with outliers: a flexible approach based on finite mixtures of contaminated gamma distributions ⋮ Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions ⋮ Outlier detection in multivariate functional data through a contaminated mixture model ⋮ Robust model-based clustering with mild and gross outliers ⋮ A two-step estimator for multilevel latent class analysis with covariates ⋮ Gaussian mixture modeling and model-based clustering under measurement inconsistency ⋮ Distributionally robust polynomial chance-constraints under mixture ambiguity sets ⋮ Parsimonious mixtures of multivariate contaminated normal distributions ⋮ A multiple imputation approach to deal with the unity measure error
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
- Another interpretation of the EM algorithm for mixture distributions
- Exact mean integrated squared error
- Maximum likelihood estimation via the ECM algorithm: A general framework
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- Identifiability of Finite Mixtures
- On the Identifiability of Finite Mixtures
This page was built for publication: A mixture of mixture models for a classification problem: the unity measure error
