The field of data science is expanding and changing as new technologies and methods crop up for data scientists. Those familiar with point processes know that they map collections of data points, or ...

We develop a unified stochastic framework for a broad class of nonequilibrium systems and apply it to turbulence and cosmic structure formation. The evolution of spectra and distributions in these ...

Stochastic processes as a research area focuses on the mathematical modeling and analysis of systems that evolve randomly over time, typically formalized as families of random variables indexed by ...

Poisson-binomial point processes are gaining considerable momentum, as their applications in the real world are numerous. Point processes map a collection of data points, sometimes called events, that ...

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 ...