W. Ehm
Global and Planetary Change · 2003–2015
A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 27 citations into it; #5,440 of 10,225 by trust here, #9,949 by citations
- Management Science and Operations Research — 24 citations into it; #8,026 of 11,946 by trust here, #8,906 by citations
- Atmospheric Science — 23 citations into it; #2,668 of 4,804 by trust here, #4,676 by citations
- Statistics and Probability — 21 citations into it
- Economics and Econometrics — 14 citations into it; #15,831 of 23,481 by trust here, #19,308 by citations
- Artificial Intelligence — 13 citations into it
- Finance — 12 citations into it; #5,089 of 10,518 by trust here, #7,575 by citations
- Environmental Engineering — 11 citations into it
Whom W. Ehm trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tilmann Gneiting
- Adrian E. Raftery
- J. Matheson
- A. P. Dawid
- J. M. L. Sloughter
- D. Wilks
- Robert L. Winkler
- Iroon Polytechniou
- Philip Dawid
- Aapo Hyvärinen
Who trusts W. Ehm overall
- Matthew Parry
- Tilmann Gneiting
- Andrew J. Patton
- A. P. Dawid
- Arindam Banerjee
- Steffen L. Lauritzen
- Johannes Resin
- Srujana Merugu
Papers from W. Ehm's perspective
Ordered by how strongly the researchers W. Ehm trusts endorse each paper. Same corpus, a different order for every researcher.
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Using Bayesian Model Averaging to Calibrate Forecast Ensembles
- VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
- On robust estimation of the location parameter
- Expected Information as Expected Utility
- Probabilistic forecasts, calibration and sharpness
- The Comparison and Evaluation of Forecasters.
- Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging
- The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
- Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation
Their papers
- Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings (2015) — 185 citations
- Local proper scoring rules of order two (2011) — 46 citations
- Local Proper Scoring Rules (2009) — 8 citations
- Convolution roots of radial positive definite functions with compact support (2004) — 65 citations
- Stationary covariances associated with exponentially convex functions (2003) — 49 citations