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

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

Pi-Labs CEO Ankush Tiwari explains how Authentify detects deepfakes at scale, defends AI models, and why India must build ...

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 ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

As we have every year, we’ll check back at the end of 2026 and provide a report card on how we did, whether our accuracy ends up being Nostradamus level, or more like a band of blindfolded monkeys ...

The realm of discrete probability distributions might seem like navigating a complex labyrinth at first glance. However, understanding the fundamental principles that govern them can unlock a powerful ...

The total area under the curve must equal 1, representing the fact that the probability of some outcome occurring within the entire range is certain. \[\int_{-\infty}^{\infty}f\left(x\right)dx=1\] ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...