Bayesian field theory: nonparametric approaches to density estimation

Nonparametric approaches to density estimation are discussed from a Bayesian perspective. Being in general nonGaussian the resulting models have to be solved by discretization. A numerical example shows that this can be computationally feasible for low-dimensional problems.