MSEanalytic: Determine the expected MSE of a simple DPCDF from its parameters.
Description
Generates the analytically expected
Mean Squared Error of a dpCDF.
introduced by random noise, SUPPOSING that the DP-CDF is through the use
of a noisy binary tree.
Usage
MSEanalytic(eps, range, gran, data, ...)
Arguments
eps
Epsilon value for differential privacy control
range
A vector length 2 containing user-specified min and max to
truncate the universe to
gran
The smallest unit of measurement in the data (one [year]
for a list of ages)
data
The vector of data from which the DP CDF was/is computed
...
Optionally add additional parameters. This is primarily used to allow automated
execution of varied diagnostic functions.
Value
The MSE guaranteed by the given parameter combination assuming
it's built from
the min and max inward from a DP-Histogram, with 95