R. van Bork

Experimental and Cognitive Psychology · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. van Bork trusts overall

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

  1. Denny Borsboom
  2. Robert Tibshirani
  3. Sacha Epskamp
  4. Alan M. Frieze
  5. Thomas E. Nichols
  6. William N. Venables
  7. A. Cramer

Papers from R. van Bork's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Social Network Analysis: Methods and Applications
  3. High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
  4. A network theory of mental disorders (World Psychiatry)
  5. The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods (International Journal of Methods in Psychiatric Research)
  6. Controlling the familywise error rate in functional neuroimaging: a comparative review (Statistical Methods in Medical Research)
  7. Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates (Proceedings of the National Academy of Sciences of the United States of America)
  8. Permutation Methods: A Basis for Exact Inference
  9. Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
  10. High-dimensional Ising model selection using ℓ1-regularized logistic regression

Their papers