Statisticians have devised ingenious methods for handling this “curse of dimensionality” problem. Most involve some sort of extrapolation, whereby a smooth function is fitted to the data and used to fill in the holes created by the empty strata. The most widely used smoothing function is of course a linear approximation, which served as the workhorse of most quantitative work in the social and behavioral sciences in the twentieth century.
