Abstract: Probability calibration is a method to improve the reliability of models by linking the predicted probability to accuracy. Most research follow a static strategy of full fine-tuning. These ...

In a world run by computers, there is one algorithm that stands above all the rest. It powers search engines, encrypts your data, guides rockets, runs simulations, and makes the modern digital ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

When news emerged that mathematics would no longer be compulsory for Arts and Humanities students seeking university admission in Nigeria, my initial reaction wasn’t outrage. It was bewilderment. Not ...

1 Department of Hydraulics, Sanitary Environmental Protection, Faculty of Hydrotechnics, Technical University of Civil Engineering of Bucharest, Bucharest, Romania. 2 Department of Hydraulics, ...

A new report by Capgemini warns that quantum computing may break the widely used public-key cryptographic systems within the next decade — threatening everything from online banking to blockchain ...

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

In this project, we develop an efficient calibration methodology for a recently proposed rough volatility model with jumps, tailored to the pricing of power-type volatility derivatives. Building on a ...