Abstract: The use of clustering in various applications is key to its popularity in data analysis and data mining. Algorithms used for optimisation can be extended to perform clustering on a dataset.

Stochastic processes provide a mathematical framework to describe systems evolving under intrinsic randomness, while anomalous diffusion refers to the deviation from classical Brownian motion where ...

TL;DR: We present a novel framework for inference scaling in stochastic diffusion models beyond time steps, extending prior work from deterministic (ODE-based) noise space search to the stochastic ...

ABSTRACT: This paper considers the problem of the HIV/AIDS Infection Process filtering characterized by three compounds, namely, the number of healthy T-cells, the number of infected T-cells and free ...

In this article, we show how stochastic diffusion models can be used to forecast demographic cohort processes using the Hernes, Gompertz, and logistic models. Such models have been used ...