Johannes Lederer

Statistics and Probability · 2011–2021

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Johannes Lederer trusts overall

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

  1. Sara A. van de Geer
  2. Robert Tibshirani
  3. Vladimir Koltchinskii
  4. Alexandre B. Tsybakov
  5. Nicolai Meinshausen
  6. Peter Bhlmann
  7. Ming Yuan
  8. Jerome H. Friedman
  9. Philippe Rigollet
  10. Thomas Mikosch

Who trusts Johannes Lederer overall

  1. Mohamed Hebiri
  2. Etienne Combrisson
  3. Jakob Runge
  4. Jing Lei
  5. P. Muniain
  6. R. Basanisi
  7. Martin Slawski
  8. Maëlle C. M. Gueguen
  9. Jan Peters
  10. Florian Ziel

Papers from Johannes Lederer's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. The Dantzig selector: Statistical estimation when P is much larger than n
  3. Atomic Decomposition by Basis Pursuit
  4. The Elements of Statistical Learning
  5. Sparsity oracle inequalities for the Lasso
  6. PATHWISE COORDINATE OPTIMIZATION
  7. High-dimensional graphs and variable selection with the Lasso
  8. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  9. Model selection and estimation in regression with grouped variables
  10. Sparsity in penalized empirical risk minimization

Their papers