On consistency of the MLE under finite mixtures of location-scale distributions with a structural parameter
DOI10.1016/j.jspi.2018.05.003zbMath1421.62076OpenAlexW2806577291WikidataQ129731976 ScholiaQ129731976MaRDI QIDQ2317238
Yukun Liu, Guanfu Liu, Peng-Fei Li, Xiao-Long Pu
Publication date: 9 August 2019
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2018.05.003
consistencymaximum likelihood estimatorstructural parameterfinite mixture of location-scale distributions
Multivariate distribution of statistics (62H10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Exact distribution theory in statistics (62E15)
Related Items (3)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Inference for multivariate normal mixtures
- Note on the consistency of the maximum likelihood estimate for nonidentifiable distributions
- Large-sample results for optimization-based clustering methods
- Consistency of the MLE under mixture models
- A note on the article ``Inference for multivariate normal mixtures by J. Chen and X. Tan
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- Estimation of a Discriminant Function Based on Small Sample Size from a Mixture of Two Gumbel Distributions
- A Graphical Technique for Determining the Number of Components in a Mixture of Normals
- Identifiability of Finite Mixtures of Elliptical Distributions
- Identifiability of Finite Mixtures
- On the Identifiability of Finite Mixtures
- Note on the Consistency of the Maximum Likelihood Estimate
This page was built for publication: On consistency of the MLE under finite mixtures of location-scale distributions with a structural parameter