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

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

Discrete probability distributions are the cornerstone of understanding probabilities associated with events that can only take on a finite or countably infinite number of values. These distributions ...

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 ...

Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance professor who has been working in the accounting and finance industries for more than 20 years. Her expertise covers a ...

Abstract: Chow and Liu considered the problem of approximating discrete joint distributions with dependence tree distributions where the goodness of the approximations were measured in terms of KL ...

Abstract: This paper addresses the problem of designing nonlinear discrete-time dynamical systems for prospective use in low-complexity random signal generators. Drawing upon ergodic systems theory, ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...