This study uses convincing modeling methods and analyses of rich behavioral datasets to investigate the role of attention in value-based decision making; for instance, as when choosing between two ...

Dive into 25 cosmic mysteries science can't explain, from dark matter to dark energy. Explore the universe's most baffling ...

Background Preterm birth is associated with lifelong respiratory sequelae, yet our understanding of lung function ...

For years, astrophysicists have argued over a deceptively simple question: how do pairs of black holes find each other, spiral inward, and collide? A new analysis of more than 150 binary black hole ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends a warning about unusual activity on an account, or a weather app predicts ...

Clinical Trial Patient Matching: A Real-Time, Common Data Model and Artificial Intelligence–Driven System for Semiautomated Patient Prescreening in Cancer Clinical Trials We developed an eXtreme ...

Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Amplifying words and ideas to separate the ordinary from the ...

Abstract: In order to improve the reliability of the operation of the distribution network system, it is necessary to accurately establish a failure probability model for distribution network ...

The Tulane Connolly Alexander Institute of Data Science promotes ability to read, work with, analyze and communicate about data. (Rosemary Mulvey) In the basement of the Howard-Tilton Memorial Library ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...

Digital games, especially those based on sports like tennis, use probability models to simulate realistic and fair outcomes. These models determine everything from a player’s serve accuracy to the ...