Sentence examples for forecasting challenge from inspiring English sources

Here's what made this storm a forecasting challenge.

In an interview, Mr. Ryan offered an example of the forecasting challenge.

The Ebola forecasting challenge organized by the Research and Policy for Infectious Disease Dynamics (RAPIDD) program of the Fogarty International Center relies on synthetic disease datasets generated by numerical simulations of a highly detailed spatially-structured agent-based model.

If you fancy testing your own forecasting skills, BBC Future has teamed up with Good Judgment and the UK innovation foundation Nesta to launch our own forecasting challenge that is open to anyone to join.

While retrospective analyses indicated some success with forecasting the sequence in which different islands in the Caribbean would be invaded, a near real-time forecasting challenge sponsored by Defense Advanced Research Projects Agency (DARPA) showed that most models tended to have difficulty forecasting other features of the epidemic, such as the week in which incidence would peak.

The spatial dependencies, temporal dependencies, and exogenous dependencies need to be considered simultaneously, however, which makes short-term passenger demand forecasting challenging.

In-sample and out-of-sample forecasting tests are used to examine the performance of the parcel-scale econometric and simulation models, and the importance of multiple forecasting challenges is assessed.

Yesterday, Uccellini spoke to ScienceInsider about upcoming forecasting challenges and his hopes for the research community.

Combine the forecasting challenges with both the likely sales lumpiness of the initial ramp and the liquidity draw, and we are likely to have at least one “disappointing” report over the next two quarters due to a customer inventory correction, balance sheet scare or margin slip.

Although the direction of a few major trends seems relatively easy, other factors that drive uncertainty present tremendous forecasting challenges.

Another complementary option is to organize forecasting "challenges", which promote the development of more accurate models and offer a means to compare the accuracies of different models.