Scientists have developed a new optimization approach that combines both day-ahead optimization and real-time optimization to improve operations of PV-driven EV charging stations. The framework is ...

Rice University researchers have developed a theoretical framework using stochastic analysis to predict menopause timing. By modeling ovarian follicle transitions, the study reveals a universal ...

Artur Sepp and Parviz Rakhmonov introduce the lognormal stochastic volatility model for the dynamics of interest rates in the single-factor Cheyette model. They show that, unlike models that mix local ...

This paper addresses the stochastic user equilibrium (SUE) in the case where the route choice is the multinomial logit model (MNL). Our main finding is that MNL SUE can be formulated and solved as an ...

For years in financial services the application of natural language processing (NLP), and more recently with large language models (LLMs), has largely centered on quick insights derived from sentiment ...

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...

But not all copulas are created equal. Normal mean-variance mixture copulas can capture heavy tails and asymmetries in the ...