E_alpha {BayesTreePrior} | R Documentation |
Expected value of the number of bottom nodes in the unrealistic case where we assume that the number of variables and possible splits are infinite (therefore P(T) is not dependent on the design matrix X) and \beta=0
(Case #1).
Description
Expected value of the number of bottom nodes in the unrealistic case where we assume that the number of variables and possible splits are infinite (therefore P(T) is not dependent on the design matrix X) and \beta=0
(Case #1).
Usage
E_alpha(alpha)
Arguments
alpha |
base parameter of the tree prior, |
Value
Returns the expected value of the number of bottom nodes.
References
Jolicoeur-Martineau, A. (Currently in revision, expected 2016) Etude d'une loi a priori pour les arbres binaires de regression (Study on the prior distribution of binary regression trees) (Master thesis). UQAM university.
See Also
Examples
E_alpha(.30)
E_alpha(.45)
E_alpha(.499)
E_alpha(.75)
[Package BayesTreePrior version 1.0.1 Index]