Cem Peker
Biographic Data
| ID | 9532181 |
|---|---|
| NAME | Cem Peker |
| GIVEN NAMES | Cem |
| FAMILY NAME | Peker |
| SIGNATURE | PEKER C |
| AFFILIATIONS | Erasmus University Rotterdam |
| ORCID | 0000-0001-9036-1915 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Extracting the collective wisdom in probabilistic judgments
How should we combine disagreeing expert judgments on the likelihood of an event? A common solution is simple averaging, which allows independent individual errors to cancel out. However, judgments can be correlated due to an overlap in their information, resulting in a miscalibration in the simple average. Optimal weights for weighted averaging are typically unknown and require past data to estimate reliably. This paper proposes an algorithm to …
No prominent works on this page.
Extracting the collective wisdom in probabilistic judgments
How should we combine disagreeing expert judgments on the likelihood of an event? A common solution is simple averaging, which allows independent individual errors to cancel out. However, judgments can be correlated due to an overlap in their information, resulting in a miscalibration in the simple average. Optimal weights for weighted averaging are typically unknown and require past data to estimate reliably. This paper proposes an algorithm to …
Aggregate (composite) (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian Modeling and Causal Inference (1 work) · Bayesian probability (1 work) · Computer Science (1 work) · Decision-Making and Behavioral Economics (1 work) · Econometrics (1 work) · Estimator (1 work)