ejs {asus} | R Documentation |
Extended James-Stein (ejs) estimator
Description
Extended James-Stein estimator of a high dimensional sparse parameter.
Usage
ejs(d, v.d)
Arguments
d |
an n vector of observations |
v.d |
an n vector of variances for each component of d |
Details
Extended James-Stein estimator of mean from Brown (2008) and equation (7.3) in Xie et al. (2012)
Value
est - an n vector holding the estimates
References
Brown, L.D. (2008). In-Season Prediction of Batting Averages: A Field Test of Empirical Bayes and Bayes Methodologies. The Annals of Applied Statistics, 2, 113-152
Xie, X. C., Kou, S. C., and Brown, L. D. (2012). SURE Estimates for a Heteroscedastic Hierarchical Model. Journal of the American Statistical Association, 107, 1465-1479.
See Also
Examples
library(asus)
set.seed(42)
d<-rnorm(10,2,1)
v.d<- rep(1,10)
theta.hat<-ejs(d,v.d)
[Package asus version 1.5.0 Index]