This is a preview. Log in through your library . Abstract The purpose of this paper is to show that the empirical characteristic function, when suitably normalised, converges weakly to a stationary ...

This paper is concerned with the following question: if a characteristic function satisfies a certain property at the origin, what can be said about its behavior on ...

Probability theory forms the mathematical backbone for quantifying uncertainty and random events, providing a rigorous language with which to describe both everyday phenomena and complex scientific ...

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...