Stochastic models have become indispensable tools for understanding growth dynamics in complex systems. By incorporating randomness and uncertainty into the modelling framework, these methods provide ...

This work develops application techniques for stochastic modeling of Active Galactic Nuclei (AGNs) variability as a probe of accretion disk physics. Stochastic models, specifically Continuous ...

This isn’t a hypothetical — it’s the daily reality in most large companies. In AI, the models move at internet speed.

Likelihood-based statistical inference has been considered in most scientific fields involving stochastic modeling. This includes infectious disease dynamics, where scientific understanding can help ...

For Nhan T. Huynh, the news came in an unexpected email from her former adviser, Michael Ludkovski, a professor in UC Santa Barbara’s Department of Statistics and Applied Probability.

A new survey from ZestyAI finds that the insurance industry is falling behind in preparing for climate-driven risks, even as natural disasters grow more frequent, severe and costly.

Ignacio Luján proposes a pricing framework for multi-asset derivatives based on the family of normal mean-variance mixture copulas. This class of copulas offers sufficient flexibility to capture a ...