Quantile Regression Forests. by Meinshausen, N

Relaxed Lasso. by Meinshausen, N

Node harvest by Meinshausen, N

Sign-constrained least squares estimation for high-dimensional regression by Meinshausen, N

Hierarchical testing of variable importance by Meinshausen, N

Forest Garrote by Meinshausen, N

False discovery control for multiple tests of association under general dependence by Meinshausen, N

Partition Maps by Meinshausen, N

A note on the Lasso for Gaussian graphical model selection by Meinshausen, N

Discussion of "Multiple Testing for Exploratory Research" by J. J. Goeman and A. Solari by Meinshausen, N

Discussion: Latent variable graphical model selection via convex optimization by Lauritzen, S, Meinshausen, N

Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data by Meinshausen, N, Bühlmann, P

Monte Carlo methods for the valuation of multiple exercise options by Hambly, B, Meinshausen, N

Monte Carlo methods for the valuation of multiple-exercise options by Meinshausen, N, Hambly, B

Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses by Meinshausen, N, Rice, J

LASSO ISOtone for High Dimensional Additive Isotonic Regression by Fang, Z, Meinshausen, N

High-dimensional graphs and variable selection with the Lasso by Meinshausen, N, Bühlmann, P

Stability Selection by Meinshausen, N, Buehlmann, P

Lasso-type recovery of sparse representations for high-dimensional data by Meinshausen, N, Yu, B

Lower bounds for the number of false null hypotheses for multiple testing of associations under general dependence structures by Meinshausen, N, Buhlmann, P