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

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

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 ...

Families in Miami-Dade seem increasingly interested in having their children study the classics — think Socrates, Plato and Aristotle. As classical education charter schools like True North move into ...

The State-Transition (ST) model has been proposed as a replacement for the widely used Classical linear succession model and its derivative Range Condition (RC) model for describing and predicting ...

* Per the 2022-2023 final release data in IPEDS ‡ The median salary for workers with 10 or more years of experience per Payscale. Assumption University is a Catholic school in Worcester, MA, an hour ...

The process of turning a word model into a formal mathematical model invariably forces the experimentalist to confront his or her hidden assumptions. I have often found that I have 'skipped steps' in ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...