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 ...

Abstract: In this talk, we discuss the construction of admissible, physics-consistent and identifiable stochastic models for uncertainty quantification. We first consider a continuum mechanics setting ...

Advances in nanotechnology enable scientists for the first time to study biological processes on a nanoscale molecule-by-molecule basis. A surprising discovery from recent nanoscale single-molecule ...

One of the focal points of the modern literature on Bayesian nonparametrics has been the problem of clustering, or partitioning, where each data point is modeled as being associated with one and only ...

We propose a stochastic model for the maximal production of photovoltaic (PV) power on a daily basis, based on data from three transmission system operators in Germany. We apply sun intensity as a ...

The AI Video and illustrations in this article were all created, written and directed by Ralph Losey. The video is followed by citations to the underlying article and a transcript. Click on the image ...

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. The note ...

Stochastic Environmental Research and Risk Assessment publishes research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, ...

The spread between two related energy prices is a very important quantity throughout energy finance. Of particular interest are spreads between different energy types, different delivery points ...