Hi,

I am a Pythonista, yet totally new to Julia though.

Could someone, please, demonstrate an example on how to code an empirical characteristic function (ideally multivariate) in Julia-way?

That is, let’s say, we’ve got a matrix `X`

of observations (`m`

rows by `n`

columns, where `m`

is number of observations, `n`

is dimension). So that, one could do smth like this:

```
ecf = estimate_ecf(X)
println(ecf(t))
```

P.S. I assume, that cf() from Distributions.jl isn’t much suitable for this