Reviewed by Somer Anderson Fact checked by Vikki Velasquez The stochastic oscillator is one of the most relied-upon tools in ...

Stochastic networks are networks that vary over time with non-binary vertices that represent a probability for a link between two nodes. Statistical approaches or computer simulations are often ...

Stochastic thermodynamics has emerged as a comprehensive theoretical framework for a large class of non-equilibrium systems including molecular motors, biochemical reaction networks, colloidal ...

Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The ...

In recent years, variants of the optimal transport problem with additional stochastic constraints have received increasing attention, e.g. martingale optimal transport (MOT) and causal/adapted optimal ...

The IMF study proposes a hybrid model reconciling the random walk hypothesis with medium-term predictability in exchange rate ...

A Gaussian probabilistic bit derived from a stochastic spintronics device has been used in new computing hardware developed ...

The input of the DeepTXsolver is the parameters of the mechanism model, and the output is the corresponding stationary distribution solution of the model. The input to the DeepTXinferrer is the ...