INFERENCE FOR NORMAL MIXTURES IN MEAN AND VARIANCE
By Jiahua Chen, Xianming Tan, Runchu Zhang. 2008
98 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/284a0abb2292c067ab265c6e60ef4fa0d956a32d
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Citations in the corpus
- Consistency of the MLE under mixture models (2016, methodology): “ all ǫ > 0 almost surely. This lemma shows that i.i.d.observations from a population with a bounded density function spread out evenly almost surely. This result extends a corresponding result in (Chen, Tan, and Zhang, 2008) to cover generic distribution F. 3.2.3 Choice of penalty. Imposingthe fo”
- Inference on the Order of a Normal Mixture (2012, methodology): “We use an = 1/n to obtain ̂0 and this choice satisfies the conditions in Chen, Tan, and Zhang (2008).”
- Hypothesis test for normal mixture models: The EM approach (2009, unknown): “5) Results in columns (5, 6, 7) used α = (0.”