Statistical Approximating Distributions Under Differential Privacy
Statistics computed from data are viewed as random variables.When they are used for tasks like hypothesis testing and confidence intervals, their true finite sample distributions are often replaced by approximating distributions that are easier Toner to work with (for example, the Gaussian, which results from using approximations justified by the C