Regression Density Estimation Using Smooth Adaptive Gaussian Mixtures
Year of publication: |
[2019]
|
---|---|
Authors: | Villani, Mattias |
Other Persons: | Kohn, Robert (contributor) ; Giordani, Paolo (contributor) |
Publisher: |
[2019]: [S.l.] : SSRN |
Subject: | Schätztheorie | Estimation theory | Nichtparametrisches Verfahren | Nonparametric statistics | Regressionsanalyse | Regression analysis | Statistische Verteilung | Statistical distribution |
Extent: | 1 Online-Ressource (25 p) |
---|---|
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | In: Journal of Econometrics, Vol. 153, No. 2, 2009 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 3, 2007 erstellt |
Classification: | C11 - Bayesian Analysis ; C50 - Econometric Modeling. General |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Posterior consistency in conditional density estimation by covariate dependent mixtures
Norets, Andriy, (2011)
-
A primer on Bayesian distributional regression
Kneib, Thomas, (2017)
-
Kernel Estimation of Copula Densities and Applications
LI, Song, (2015)
- More ...
-
Nonparametric regression density estimation using smoothly varying normal mixtures
Villani, Mattias, (2007)
-
Regression density estimation using smooth adaptive Gaussian mixtures
Villani, Mattias, (2009)
-
Nonparametric regression density estimation using smoothly varying normal mixtures
Villani, Mattias, (2007)
- More ...