BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS11This research was partially supported by the National Science Foundation under Grant MCS77-2121.

@inproceedings{Ferguson1983BAYESIANDE,
  title={BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS11This research was partially supported by the National Science Foundation under Grant MCS77-2121.},
  author={Thomas S. Ferguson},
  year={1983}
}
Publisher Summary This chapter discusses Bayesian density estimation by mixtures of normal distributions and discusses the estimation of an arbitrary density f(x) on the real line. This density is modeled as a mixture of a countable number of normal distributions. Using such mixtures, any distribution on the real line can be approximated to within any preassigned accuracy in the Levy metric and any density on the real line can be approximated similarly in the L1 norm. Thus, the problem can be… CONTINUE READING

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