Bayesian Field Theory: Nonparametric Approaches to Density Estimation

I
IJCNN
2000
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2
Abstract - Bayesian Field Theory: Nonparametric Approaches to Density Estimation

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Jörg C. Lemm, "Bayesian Field Theory: Nonparametric Approaches to Density Estimation," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 2, pp. 2018, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.857868, author = {Jörg C. Lemm}, title = {Bayesian Field Theory: Nonparametric Approaches to Density Estimation}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {2}, year = {2000}, issn = {1098-7576}, pages = {2018}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857868}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - Bayesian Field Theory: Nonparametric Approaches to Density Estimation SN - 1098-7576 SP EP A1 - Jörg C. Lemm, PY - 2000 VL - 2 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Jörg C. Lemm, Universit?t M?nster

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857868

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

Citation:

Jörg C. Lemm, "Bayesian Field Theory: Nonparametric Approaches to Density Estimation," ijcnn, vol. 2, pp.2018, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2, 2000

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