Tuning the EM-test for finite mixture models
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Publication:3174219
DOI10.1002/cjs.10122zbMath1230.62020OpenAlexW1504730822MaRDI QIDQ3174219
Publication date: 12 October 2011
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.10122
Asymptotic distribution theory in statistics (62E20) Computing methodologies and applications (68U99) Asymptotic properties of parametric tests (62F05)
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Cites Work
- Unnamed Item
- Hypothesis test for normal mixture models: the EM approach
- Estimating the dimension of a model
- Asymptotic distribution of the likelihood ratio test that a mixture of two binomials is a single binomial
- Asymptotics for likelihood ratio tests under loss of identifiability
- Testing the order of a model using locally conic parametrization: Population mixtures and stationary ARMA processes
- Asymptotic theory of the likelihood ratio test for the identification of a mixture
- Testing homogeneity in discrete mixtures
- A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
- The likelihood ratio test for homogeneity in finite mixture models
- Non-finite Fisher information and homogeneity: an EM approach
- Penalized likelihood-ratio test for finite mixture models with multinomial observations
- Testing for a Finite Mixture Model with Two Components
- Testing Statistical Hypotheses
- Testing Homogeneity in a Mixture Distribution via theL2Distance Between Competing Models
- Hidden Markov Models for Time Series
