**Preface to "Symmetric Distributions, Moments and Applications"**

Laying the modern axiomatic foundations of probability theory, A. N. Kolmogorov (1903-1987) established his reputation as the world's leading expert in this field. The probability distributions and moments of the random variables are mathematical models in many branches of science, finance, insurance, and any field where stochastic modeling is used. This Special Issue includes eight papers with original results of symmetric random walks and their characterization, stochastic processes, computational number theory, stochastic integrals, probability inequalities, statistics parameter estimation, entropy, Stochastic differential equations, finance mathematics, optimization, information theory, Bayesian methods, Monte Carlo methods, etc. The book is addressed to graduate, PhD students and researchers in statistics and physics, as well as, data sciences, finance and insurance.

> **Zivorad Tomovski** *Editor*
