The study deals with stochastic dynamic mass spectrometric 3D structural analysis of (rac)-1-and 2-phenylethylamines determining enantiomers, positional isomers and molecular isotopologies, respectively. High resolution electrospray ionization mass spectrometric, high accuracy static and...

Artificial Intelligence (AI) models have been recently studied in finance to discover data patterns. However, generative AI, particularly in image synthesis, remains relatively unexplored. In this paper, we investigate the potential of generative AI to model unknown dynamics using stock chart...

This paper presents an investigation into a random walk on a cycle graph with restricted forward movement at most $m$ steps, known as the forward jump random walk. The study derives precise formulas for the probability mass function of the arriving state, the hitting time, and its expected value...

In the landmark article [MSTW17], Müller et. al. introduced the notion of fractional stochastic dominance (SD) to interpolate between first and second SD relations. In this article, we introduce a novel family of multi-fractional stochastic orders that generalizes fractional SD in a natural...

We obtain an invariance principle for the two-dimensional Brownian sheet where the underlying random field need not be independent or stationary. We also provide a basic demonstration of its application towards spatial unit root testing

Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models-in terms, that is, of their goodness-of-fit and prediction...

In a recent paper "Stochastic Chain-Ladder Reserving with Modeled General Inflation", the effects of modeled general inflation on non-life claims reserving were studied using, along with the so called "market approach", a stochastic two-factor market model, characterized by deterministic...