Statistical methods enable analysis of data that are considered to be generated from random processes. That is why, statistical methods are found in almost every study related to data analytics.
Within verim, statistical methodology is treated as a research area on its own and there is interest in developing statistical methods that are potentially applicable to a large variety of problems.
In particular, research is being conducted on Monte Carlo methods. These methods are used inference via simulation in complex models, usually within the framework of Bayesian statistics where the aim is to find the posterior distribution of unknown parameters given data. In verim, we are interested in the use of Monte Carlo for data privacy and inference with big data, both of which are hot research topics.