A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Misreading churn leads to flawed CLV assumptions. Analyze retention over time and identify the customers that actually drive ...

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

Explore Treasury yield forecasts: 3‑month bills likely 1%–2%, curve inversion odds, negative-rate risk, and default dangers ...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap.

Mathematicians rely on numbers, but finding words to explain different levels of certainty has stymied everyone from the ...

Astronomers have chased hypervelocity stars for more than a century. These rare objects move so fast that the Milky Way ...

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

Randall Morck of the Alberta School of Business says economists too often regard people as "dynamic, stochastic optimization ...

Treasury yield simulations project 3‑month bills at 1%–2% in 10 years; curves show widening risk premiums, inversion odds and ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...