Philipp Rütimann

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Rütimann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Nicolai Meinshausen
  2. Peter Buhlmann
  3. Cun-Hui Zhang
  4. Tom L. Burr
  5. Marloes H. Maathuis
  6. J. Gerring
  7. Jerome H. Friedman
  8. Robert Tibshirani
  9. Jianqing Fan
  10. Hui Zou

Papers from Philipp Rütimann's perspective

Ordered by how strongly the researchers Philipp Rütimann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High-dimensional graphs and variable selection with the Lasso
  2. The Adaptive Lasso and Its Oracle Properties
  3. On Model Selection Consistency of Lasso
  4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  5. Regularization Paths for Generalized Linear Models via Coordinate Descent
  6. Nearly unbiased variable selection under minimax concave penalty
  7. p-Values for High-Dimensional Regression
  8. © Institute of Mathematical Statistics, 2009 HIGH-DIMENSIONAL VARIABLE SELECTION BY LARRY WASSERMAN AND KATHRYN ROEDER 1
  9. Relaxed Lasso
  10. Causation

Their papers