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.

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Bibliographic Details
Main Author: Lemm, J.C.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Boundary conditions
Eigenvalues and eigenfunctions
Encoding
Gaussian processes
Lagrangian functions
Quantum mechanics
Online Access:Request full text
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Description
Summary: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.
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.2000.857868