corn yield. Specifically, we examine scenarios where a forecasting agent has data that is not representative either because … of data can, to some degree, overcome forecasting bias caused by non-representative samples. Moreover, if the forecaster …

risk analysis and forecasting. Conventional methods of risk analysis tend to underestimate the probability and impact of … assess critically the potential of big data to profoundly change the current capability for risk forecasting in diverse areas … implications for risk forecasting in the areas of economic and financial risks, environmental and sustainable development risks …

the benefit of collecting long-term information. If this hypothesis is correct, and forecasting short-term and long …