We present a (selective) review of recent frequentist high-dimensional
inference methods for constructing p-values and confidence intervals in
linear and generalized linear models. We include a broad, comparative empirical
study which complements the viewpoint from statistical methodology and theory.
Furthermore, we introduce and illustrate the R-package hdi which easily allows
the use of different methods and supports reproducibility.Comment: Published at http://dx.doi.org/10.1214/15-STS527 in the Statistical
Science (http://www.imstat.org/sts/) by the Institute of Mathematical
Statistics (http://www.imstat.org