# Mixture Model

data $y_1,\ldots, y_c$ are i.i.d. with distribution

where $\theta_r=(\mu_{1:r},\lambda_{1:r},w_{1:r}), 2\le 2<\infty$.

## prior distributions

same for each component $j=1,…,r$

# References

Richardson, Sylvia, and Peter J. Green. “On Bayesian analysis of mixtures with an unknown number of components (with discussion).” Journal of the Royal Statistical Society: series B (statistical methodology) 59.4 (1997): 731-792.

Published in categories Monte Carlo