Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
"Gradient boosting for distributional regression - faster tuning and improved variable selection via noncyclical updates", has been accepted for publication in Statistics and Computing.
Replace
Thomas, J., Mayr, A., Bischl, B., Schmid, M., Smith, A., and Hofner, B. (2016),
Stability selection for component-wise gradient boosting in multiple dimensions.
Preliminary version: \url{http://arxiv.org/abs/1611.10171}.
with
Thomas, J., Mayr, A., Bischl, B., Schmid, M., Smith, A., and Hofner, B. (2017),
Gradient boosting for distributional regression - faster tuning and improved
variable selection via noncyclical updates.
Accepted for publication in \emph{Statistics and Computing}.\cr
Preliminary version: \url{http://arxiv.org/abs/1611.10171}.
"Gradient boosting for distributional regression - faster tuning and improved variable selection via noncyclical updates", has been accepted for publication in Statistics and Computing.
Replace
with