Alexander I. Jordan

Management Science and Operations Research · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 24 citations into it; #8,025 of 11,946 by trust here, #8,906 by citations
• Global and Planetary Change — 22 citations into it; #4,723 of 10,225 by trust here, #9,422 by citations
• Statistics and Probability — 18 citations into it
• Atmospheric Science — 16 citations into it; #2,324 of 4,804 by trust here, #4,434 by citations
• Artificial Intelligence — 14 citations into it; #21,970 of 35,345 by trust here, #32,362 by citations
• Economics and Econometrics — 14 citations into it; #15,830 of 23,481 by trust here, #19,308 by citations
• Finance — 14 citations into it; #7,289 of 10,518 by trust here, #8,309 by citations
• Environmental Engineering — 9 citations into it

Whom Alexander I. Jordan trusts overall

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

1. Tilmann Gneiting
2. Max Kuhn
3. Michael Scheuerer
4. Bernard Walter Silverman
5. Sylvia Frühwirth-Schnatter
6. Ian T. Jolliffe
7. Adrian E. Raftery
8. Francesco Laio
9. Rob J Hyndman
10. Thomas M. Hamill

Who trusts Alexander I. Jordan overall

1. Stephan Rasp
2. Jakob A. Dambon
3. Manuel Gebetsberger
4. Kashif Rasul
5. Sebastian Lerch
6. Andrew J. Patton
7. Fabio Sigrist
8. Jakob W. Messner
9. Calvin Seward
10. Tilmann Gneiting

Papers from Alexander I. Jordan's perspective

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

1. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
2. Strictly Proper Scoring Rules, Prediction, and Estimation
3. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
4. Probabilistic forecasts, calibration and sharpness
5. Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation
6. Scoring Rules for Continuous Probability Distributions
7. On robust estimation of the location parameter
8. The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification
9. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
10. Estimating the Dimension of a Model

Their papers

• Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings (2015) — 185 citations
• Evaluating Probabilistic Forecasts with scoringRules (2017) — 295 citations