Fundamental concepts of probability theory; modeling and analysis of systems having random dynamics, and in particular, queueing systems. Homework, exams and problem-solving sessions. This course is a ...

Simulation research derives new methods for the design, analysis, and optimization of simulation experiments. Research on stochastic models develops and analyzes models of systems with random behavior ...

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications, medicine, and finance. Their existence compels a need for rigorous ...

Statistical approaches or computer simulations are often necessary to explore how such networks evolve, adapt or respond to external intervention Stochastic computer model of A. fumigtatus lung ...

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

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 ...

The stochastic alpha beta rho model is a stochastic volatility model for forward prices commonly used in the modelling of interest rate derivatives. The alpha, beta and rho in the name are parameters ...

The stochastic oscillator is one of the most relied-upon tools in technical analysis, ranking alongside popular indicators like the relative strength index (RSI) and moving average convergence ...

Pile up blocks until the tower collapses. But why does the tower always end up collapsing? Is it possible that it can be ...

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