Johannes Resin

Statistics and Probability · 2021

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 Johannes Resin trusts overall

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

  1. Tilmann Gneiting
  2. K. Wallis
  3. Michael P. Clements
  4. Peter A. Flach
  5. Tobias Fissler
  6. W. Ehm
  7. J. Ziegel
  8. B. Van calster
  9. Victoria Stodden
  10. Roopesh Ranjan

Papers from Johannes Resin's perspective

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

  1. Strictly Proper Scoring Rules, Prediction, and Estimation
  2. Probabilistic forecasts, calibration and sharpness
  3. On Calibration of Modern Neural Networks
  4. Present position and potential developments: some personal views
  5. On robust estimation of the location parameter
  6. The role of the information set for forecasting—with applications to risk management
  7. Accurate Uncertainties for Deep Learning Using Calibrated Regression
  8. Making and Evaluating Point Forecasts
  9. Verified Uncertainty Calibration
  10. Regression Quantiles

Their papers