… of predicting with expert advice [Vov90,CBFH+… are n experts, and the prediction of the ith
expert for the tth outcome is given by xt,i ∈ [0, 1]. The vector xt of all the experts’ predictions at …

… in the prediction process.We give an updated review of aggregating expert predictions in the
… Non-parametric models included averaging quantiles, equally weighting expert predictions, …

… each expert, we pooled them together and treat all the expert … coded the expert forecast to
be the mean expert prediction. … expert forecast predicts a vote to affirm if a majority of experts …

… to improve over simple averaging of the predictions in terms of prediction accuracy, but that
… expert’s prediction exhibits the most consistent superior performance over simple averaging …

… The performance measure reported in this research is an average of the number of observations
in the validation sample that were misclassified. Each subset contained 50% failed and …

… not average the multiple estimates of the same individual (instead, we combine estimates
from multiple experts)… used in the expert judgement literature—namely, simple averages of the …

… real expert predictions demonstrate that our system may help experts make more accurate
predictions … Finally, by using our system, our results suggest that the (average) expert would …

… by combining the predictions of several prediction strategies, called experts. Our analysis is
for … We define the average covering radius of , denoted R(), as the average l1 distance from a …

… forests and linear models to forecast stock returns and build portfolios from the predictions. …
The bottom graph plots the average expert weights of the long and short aggregations of …

… that selects the expert with the smallest prediction error. In con… the prediction error in terms
of the linear aggregation of the … p* is a weighted average of the prior mean and the experts' …