Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

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 ...

Here's hoping Joe Keery gets to wear more shoes now that Stranger Things has finished. Arkansas to become first state to cut ties with PBS: 'Not feasible' Taylor Swift cried offstage at her first ...

Abstract: This letter presents a new robust data-driven predictive control scheme for linear time-varying (LTV) systems with unknown nominal system models. To tackle the challenges arising from the ...

We study linear regressions in a context where the outcome of interest and some of the covariates are observed in two different datasets that cannot be matched. Traditional approaches obtain point ...

Abstract: The magnetic-flux-based condition monitoring techniques are becoming increasingly popular due to their advantages, such as non-invasiveness, low costs, and ease of sensor installation.

20 Superstars, two matches, one word... WarGames! The annual Survivor Series Premium Live Event returns on Saturday, November 29, when WWE takes over Petco Park and transforms the home of Major League ...