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a model that represents the presence of subpopulations within an overall population and describes the data in terms of a mixture distribution.

2 votes
1 answer
943 views

Is there a way to determine the number of the mixture components prior to run EM algorithm

I am working with mixture models. The common way to determine the number of the mixture components is fitting several mixture models with a different number of mixture components and then select the b …
Mary's user avatar
  • 316
0 votes
0 answers
137 views

Would estimating a mixture model using MLE or EM provide different results?

I have built a very hard mixture R (code) using EM-algorithm. My supervisor asked me to repeat the estimation using MLE as it is simpler than EM-algorithm. Building another complex R code will take a …
Mary's user avatar
  • 316
0 votes
0 answers
199 views

latent variables in EM algorithm are assumed to be i.i.d from multinomial distribution, from...

In EM algorithm we introduce a latent variables, say $z_i$, $i=1,...n$, $n$ is the number of the mixture component. These variables ($z_i$) are assumed to be independent and identically distributed fr …
Mary's user avatar
  • 316