Many government contractors still rely on fragmented systems and static spreadsheets to project what’s ahead. That approach may work for tracking awarded contracts, but it fails to support confident ...

Adaptive forecasting is a term used to describe several different methods of determining the likelihood of events occurring based on statistical data and variable analysis. These forecasting methods ...

Americans have long been familiar with “horse race” polls that accompany elections in the United States. But since 2008, a new polling tool has gained prominence, one that not only suggests which ...

The probability in weather forecasts leaves many people perplexed on if, or when, they should continue with plans, cancel or delay. As summer ramps up across North America, millions of travelers, ...

Forecasting a central scenario for the U.S. economy in 2026 appears to be a straightforward exercise. But the probability ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...

A group of Americans residing in Taiwan are seen gathering at a bar, watching streaming videos for live results of the election and the speech by Donald Trump on TV and laptops, before the final ...

“Statistical prediction is only valid in sterile laboratory conditions, which suddenly isn't as useful as it seemed before” — Gary King, political scientist and quantitative methodologist Imagine you ...

David F Hendry receives funding from the Open Society Foundations and the Oxford Martin School. Grayham Mizon has received funding from Economic and Social Research Council. Unpredictability is ...