Functional data analysis (FDA) is the branch of statistics that treats individual observations as continuous functions, curves or surfaces rather than as finite-dimensional vectors. Central to FDA are ...

Nonparametric functional data analysis encompasses statistical methods for data represented as continuous curves or functions rather than scalar or vector measurements. These techniques avoid rigid ...

In the past two columns, we’ve looked at higher-order functions and talked a little bit about the power of functional programming. So far, the concepts we’ve covered do little to indicate how powerful ...