If we convert this spread into a probability of recession twelve months ahead using the probit model described earlier (estimated with Treasury data from January 1959 to December 2005), we can ...

Predictive modeling uses known results to create, process, and validate a model to make future predictions ... predictive modeling to increase the probability of forecasting events, customer ...

A prediction model from the global financial services firm JPMorgan Chase, analyzed by Bloomberg, suggests that the probability of an economic downturn has grown to 31 percent from 17 percent at ...

the most accurate prediction model combined SGCAPS and halo count score, which researchers named the HAS-GCA score. The model rated 74% (n = 169) of patients as either low or high probability of ...

For the clinical prediction of probability of pulmonary embolism (PE), the Pisa model is effective, based on a derivation cohort study of 1,100 patients with suspected PE (40% had PE) and a ...

Due to larger societal injustices, students with socially relevant features (race, gender or income, for example) may receive less favorable outcomes from the predictive model. Previous ... as though ...