10 datasets found

The dataset used in this paper is a collection of stochastic processes, including 3-dimensional Brownian motion and fractional Brownian motion.

The dataset is used to evaluate the performance of the STL kernel for signal temporal logic.

The dataset used in this paper is a collection of biochemical reaction networks with special topologies, called weak reversibility (WR) and zero deficiency (ZD), and their...

The dataset used in the paper is a discrete-time stochastic dynamical system with two novel aspects: (a) using ranking supermartingales (RSMs) to certify almost-sure asymptotic...

The dataset used in the paper is a stochastic model of contact-process-like dynamics with hybrid strategies.

Stochastic processes have found numerous applications in science, as they are broadly used to model a variety of natural phenomena. The dataset consists of trajectories of...

The dataset used in the paper is a stochastic process that samples from the quantum density, which is a probability distribution over the phase space of a quantum system.

The dataset used in the paper is a stock market following a geometric Brownian motion and a riskless asset continuously compounded at a constant rate. The stock can go bankrupt,...

The dataset is used to study the neuronal dynamics underlying electroencephalograms (EEG) and to recover arrhythmic EEG transients from their stochastic interference.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a comprehensive set of possible states of the environment.