• Corpus ID: 248693653

Existence and Consistency of the Maximum Pseudo \b{eta}-Likelihood Estimators for Multivariate Normal Mixture Models

@inproceedings{Chakraborty2022ExistenceAC,
  title={Existence and Consistency of the Maximum Pseudo \b\{eta\}-Likelihood Estimators for Multivariate Normal Mixture Models},
  author={Soumya Chakraborty and Ayanendranath Basu and Abhik Ghosh},
  year={2022}
}
Robust estimation under multivariate normal (MVN) mixture model is always a computational challenge. A recently proposed maximum pseudo β -likelihood estimator aims to estimate the unknown parameters of a MVN mixture model in the spirit of minimum density power divergence (DPD) methodology but with a relatively simpler and tractable computational algorithm even for larger dimensions. In this letter, we will rigorously derive the existence and weak consistency of the maximum pseudo β -likelihood… 

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