Fit a mixture of Gaussians to the observed data.

Fit a univariate normal (Gaussian) distribution to the observed data.

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`y` |
A vector of observed pixel data. |

`niter` |
The number of iterations of the algorithm to perform. |

`priors` |
A list of priors for the parameters of the model. |

A list containing MCMC samples for the mean and standard deviation.

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