Fully nonparametric Bayesian additive regression trees
Year of publication: |
2019
|
---|---|
Authors: | George, Edward ; Laud, Purushottam W. ; Logan, Brent ; McCulloch, Robert E. ; Sparapani, Rodney |
Published in: |
Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling ; Part B. - Bingley, UK : Emerald Publishing, ISBN 978-1-83867-420-5. - 2019, p. 89-110
|
Subject: | Bayes-Statistik | Bayesian inference | Nichtparametrisches Verfahren | Nonparametric statistics | Regressionsanalyse | Regression analysis | Theorie | Theory | Statistische Verteilung | Statistical distribution |
-
Posterior consistency in conditional density estimation by covariate dependent mixtures
Norets, Andriy, (2011)
-
Posterior consistency in conditional density estimation by covariate dependent mixtures
Norets, Andriy, (2011)
-
Posterior consistency in conditional density estimation by covariate dependent mixtures
Norets, Andriy, (2014)
- More ...
-
McCulloch, Robert E., (2000)
-
McCulloch, Robert E., (1987)
-
Comment: Bayesian multinominal probit models with a normalization constraint
Nobile, Agostino, (2000)
- More ...