J.P. Morgan’s PricingDirect team introduces a new autocallable model, which reflects the shift towards data-driven ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Errors in the collection of categorical data lead to misclassification of observed counts. Several authors have proposed a double sampling scheme. This article develops a method for analysis of double ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...

Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

Human-centered visualization reminds us that government starts in sight. Data can only lead integrity where people can ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

When Hurricane Melissa spun up unexpectedly in the Atlantic earlier this month, traditional forecasting models were caught off guard by its rapid intensification. Yet weather models using artificial ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labelled images from ...