P. Lukacs

Statistics and Probability · 2006–2018

A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom P. Lukacs trusts overall

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

  1. N. Sugiura
  2. K. Burnham
  3. Hirotogu Akaike
  4. David R. Anderson
  5. Hirotugu Akaike
  6. Yuhong Yang

Who trusts P. Lukacs overall

  1. Victor Kuperman
  2. J. Fieberg
  3. Matthew Symonds
  4. M. Galipaud
  5. C. Boschetto
  6. Douglas H. Johnson
  7. A. Moussalli
  8. Joan Bresnan
  9. Mark A. F. Gillingham
  10. Peter Johanns

Papers from P. Lukacs's perspective

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

  1. Model selection and multimodel inference : a practical information-theoretic approach
  2. Information Theory and an Extension of the Maximum Likelihood Principle
  3. Understanding AIC and BIC in Model Selection
  4. Concentration inequalities and model selection
  5. Computational approaches to motor learning by imitation.
  6. Further analysts of the data by akaike' s information criterion and the finite corrections
  7. PREDICTION/ESTIMATION WITH SIMPLE LINEAR MODELS: IS IT REALLY THAT SIMPLE? (Econometric Theory)
  8. Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity (Science)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers