In risky situations characterized by imminent decisions, scarce resources, and insufficient data, policymakers rely on experts to estimate model parameters and their associated uncertainties. Different elicitation and aggregation methods can vary substantially in their efficacy and robustness. While it is generally agreed that biases in expert judgments can be mitigated using structured elicitations involving groups rather than individuals, there is still some disagreement about how to best elicit and aggregate judgments. This mostly concerns the merits of using performance‐based weighting schemes to combine judgments of different individuals (rather than assigning equal weights to individual experts), and the way that interaction between e...
Policy makers use expert judgment opinions elicited from experts as probability distributions, quant...
Quantitative expert judgementsare used in reliability assessmentsto informcritically important decis...
Safety analysis frequently relies on human estimates of the likelihood of specific events. For this ...
In risky situations characterized by imminent decisions, scarce resources, and insufficient data, po...
Performance weighted aggregation of expert judgments, using calibration questions, has been advocate...
Expert judgement is pervasive in all forms of risk analysis, yet the development of tools to deal wi...
Expert judgement is routinely required to inform critically important decisions. While expert judgem...
Structured protocols offer a transparent and systematic way to elicit and combine/aggregate, probabi...
This study presents the results of an approach to the prediction of the outcomes of geopolitical eve...
Expert judgment (or expert elicitation) is a formal process for eliciting judgments from subject-mat...
Using expert judgment data from the TU Delft's expert judgment database, we compare the performance ...
We update the 2008 TU Delft structured expert judgment database with data from 33 professionally con...
Using expert judgment data from the TU Delft's expert judgment data base, we compare the perfor...
Previously held under moratorium from 21st November 2017 until 21st November 2022.Mathematical aggre...
Consistent use of information has been identified as a critical issue that can undermine expert pred...
Policy makers use expert judgment opinions elicited from experts as probability distributions, quant...
Quantitative expert judgementsare used in reliability assessmentsto informcritically important decis...
Safety analysis frequently relies on human estimates of the likelihood of specific events. For this ...
In risky situations characterized by imminent decisions, scarce resources, and insufficient data, po...
Performance weighted aggregation of expert judgments, using calibration questions, has been advocate...
Expert judgement is pervasive in all forms of risk analysis, yet the development of tools to deal wi...
Expert judgement is routinely required to inform critically important decisions. While expert judgem...
Structured protocols offer a transparent and systematic way to elicit and combine/aggregate, probabi...
This study presents the results of an approach to the prediction of the outcomes of geopolitical eve...
Expert judgment (or expert elicitation) is a formal process for eliciting judgments from subject-mat...
Using expert judgment data from the TU Delft's expert judgment database, we compare the performance ...
We update the 2008 TU Delft structured expert judgment database with data from 33 professionally con...
Using expert judgment data from the TU Delft's expert judgment data base, we compare the perfor...
Previously held under moratorium from 21st November 2017 until 21st November 2022.Mathematical aggre...
Consistent use of information has been identified as a critical issue that can undermine expert pred...
Policy makers use expert judgment opinions elicited from experts as probability distributions, quant...
Quantitative expert judgementsare used in reliability assessmentsto informcritically important decis...
Safety analysis frequently relies on human estimates of the likelihood of specific events. For this ...