Tagged Questions

0
votes
0answers
106 views

Problems with basic R functions for a two-normal mixture (EM approach of parameter estimation)

I was trying to learn EM algorithm for simple two-normal mixture models, specially writing basic R function for parameter estimation. But my codes give me the same values that I started with! I can ...
2
votes
3answers
287 views

Using the EM Algorithm for unimodal distributions?

I've really only seen EM used for mixtures where one can point out multiple modes visually - e.g, the classic mixture of gaussians example. I would like to use EM for a mixture of an empirically ...
4
votes
3answers
539 views

Optimization of MLE for mixture problems

I have about 1000 data points from some thick tailed distribution that I would like to fit a parametrized distribution to. From my data, I've made some adjustments and constructed an empirical ...
5
votes
1answer
395 views

Learning parameters of a mixture of Gaussian using MLE

It seems that MLE (via EM) is widely used in machine learning / statistics to learn the parameters of a mixture of Gaussians. I'm assuming we're given random samples from the mixture. My question ...