One of these algorithms utilizes the same model to automatically enable change point detection, so if the user believes their time series will change its behavior at some point, the system will ...

this algorithm can effectively capture any time-series structure out there. It feels like we have found the right lens to look at the model complexity of time-series data,” says senior author Devavrat ...

"The model itself is richer in terms of expressivity ... It edged out other state-of-the-art time series algorithms by a few percentage points in accurately predicting future values in datasets ...

The state-space model is based on a time-series algorithm that attempts to detect things like seasonal turns, Bowman said. The core algorithm at play here is the Kalman filter, which saw a significant ...

A new algorithm ... the time it takes to develop models and perform simulations, preparations are already underway. Coordinated by an international collaboration known as the Coupled Model ...