Thorsten Dickhaus

Statistics and Probability · 2007–2015

A researcher in the Science corpus: 6 papers; trusts 55 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Thorsten Dickhaus trusts overall

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

  1. Jonathan E. Taylor
  2. Alan Genz
  3. Yoav Benjamini
  4. Benjamin Blankertz
  5. K. Müller
  6. Robert Tibshirani
  7. Frank Bretz
  8. John D. Storey
  9. Helmut Finner
  10. David L. Donoho

Who trusts Thorsten Dickhaus overall

  1. Étienne Roquain
  2. S. Hurlbert
  3. Jörg Henseler
  4. Philip S. Thomas
  5. Laleh Seyyed-Kalantari
  6. Sadroddin Alavipanah
  7. Gilles Blanchard
  8. Celia M. Lombardi
  9. Christian M. Ringle
  10. Bruno Castro da Silva

Papers from Thorsten Dickhaus's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. The Nature of Statistical Learning Theory
  3. The Elements of Statistical Learning
  4. Regression Shrinkage and Selection via the Lasso
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Networks for Pattern Recognition

Their papers