Bayesian Nonparametric Models

@inproceedings{Orbanz2010BayesianNM,
  title={Bayesian Nonparametric Models},
  author={Peter Orbanz and Yee Whye Teh},
  booktitle={Encyclopedia of Machine Learning and Data Mining},
  year={2010}
}
A Bayesian nonparametric model is a Bayesian model on an infinite-dimensional parameter space. The parameter space is typically chosen as the set of all possible solutions for a given learning problem. For example, in a regression problem the parameter space can be the set of continuous functions, and in a density estimation problem the space can consist of all densities. A Bayesian nonparametric model uses only a finite subset of the available parameter dimensions to explain a finite sample of… CONTINUE READING
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