Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Shrinking governing boards, diversifying beyond alumni and business executives, and mandating free speech vetting in leadership hires could reverse the chill on free speech and equip trustees to ...

In the week ending November 29th, initial jobless claims were at a seasonally adjusted level of 191,000, the lowest level in ...

A change in driving patterns among older adults may signal cognitive decline, offering an opportunity for early intervention ...

It may be past the spooky season, but this past decade’s worth of fantastic horror games are calling to fans regardless of ...

New studies find student performance fell across southern California and a large Florida county amid the surge in immigration ...

Objective: To assess the correlates of changes in emergency department (ED) prices for self-pay patients from 2021 to 2023. Study Design: Retrospective longitudinal analysis of self-pay prices for ED ...

Background Valproate exposure during pregnancy causes major congenital malformations in 11% and neurodevelopmental disorders in 30–40% of exposed children. Despite regulatory interventions, including ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

Exogenous attention is a rapid, involuntary mechanism that automatically reallocates processing resources toward salient stimuli. It enhances visual sensitivity in the vicinity of the salient stimulus ...