Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Discover how the ceteris paribus assumption isolates variables to clarify economic causation, simplifying complex ...

Dependent variables change based on other inputs in financial models, affecting investment outcomes. Independent variables like earnings affect dependent variables, influencing metrics like P/E ratios ...

Faced with a decades-long epidemic of troublingly high veteran suicide rates, the Department of Veterans Affairs has been exploring the adoption and use of artificial intelligence to help identify ...

Abstract: Identifying the direct causes or causal parents of a target variable is crucial for scientific discovery. Focusing on linear models, the invariant prediction framework was built upon the ...

A high schooler, Matteo Paz, won $250,000 for discovering 1.5 million new space objects with AI. Paz built an AI algorithm to search data from a NASA space telescope for objects such as black holes.

Background Deterministic variables are variables that are fully explained by one or more parent variables. They are extremely common in the health and social sciences, typically arising in the ...

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. To accurately assess the comparative ...

aDepartment of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA, 02115, USA bDepartment of Cardiology, Boston Children's Hospital, Harvard Medical School, 300 Longwood ...

Why to use Spline-DV? One of the most intuitive ways to evaluate a gene expression change is using Differential Expression (DE) analysis. Traditionally, DE analysis focuses on identifying genes that ...