Identifying causal relationships from observational data is not easy. Still, researchers are often interested in examining the effects of policy changes or other decisions. In those analyses, ...

Researchers at the Vector Institute propose an AI approach to modeling random events like stock market fluctuations and hospital visits.

We study the tail behavior of regularly varying infinitely divisible random vectors and additive processes, i.e. stochastic processes with independent but not necessarily stationary increments. We ...

In this paper an attempt is made to estimate a regression equation using a time series of cross sections. It is assumed that the coefficient vector is distributed across units with the same mean and ...