 Univariate functions can be applied point-wise to multivariate data to modify their marginal distributions.It is also possible to modify some attributes of a multivariate distribution using an appropriately constructed transformation.For example, when working with time series and other types of sequential data, it is common to difference the data to improve stationarity.