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

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

Chance and uncertainty play a role in many aspects of life. A solid understanding of probability enhances critical thinking and empowers us to make well-informed decisions in everyday situations such ...

Discrete random variables take only specific, countable values. Stock prices are examples of discrete random variables due to tick sizes. Continuous random variables, like stock returns, can take any ...

The UCL Department of Information Studies (DIS) in the Faculty of Arts and Humanities is launching a new BSc Information in Society programme at UCL East from 2024. The department also offers ...

Abstract: Consider a system comprising sensors that communicate with a remote estimator by way of a so-called collision channel. Each sensor observes a discrete random variable and must decide whether ...

Basic probability; Discrete random variables, examples (e.g. Bernoulli, binomial, geometric), expected values, variances; Markov chains and their properties ...

In the mathematical modeling of biochemical reactions, a convenient standard approach is to use ordinary differential equations (ODEs) that follow the law of mass action. However, this deterministic ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...