Bühlmann, P. and van de Geer, S. (2011) Statistics for High-Dimensional Data: Methods, Theory and Applications. Springer, Berlin.
https://doi.org/10.1007/978-3-642-20192-9

has been cited by the following article:

• TITLE: A Review on High-Dimensional Frequentist Model Averaging

  AUTHORS: Peipei Fu, Juming Pan

  KEYWORDS: Model Averaging, High-Dimensional Regression Models, Stable Prediction

  JOURNAL NAME: Open Journal of Statistics, Vol.8 No.3, June 13, 2018

  ABSTRACT: Model averaging has attracted increasing attention in recent years for the analysis of high-dimensional data. By weighting several competing statistical models suitably, model averaging attempts to achieve stable and improved prediction. To obtain a better understanding of the available model averaging methods, their properties and the relationships between them, this paper is devoted to make a review on some recent progresses in high-dimensional model averaging from the frequentist perspective. Some future research topics are also discussed.