Minimax decision rules for identifying an unknown distribution of a random variable

Abstract

We consider a problem of identifying an unknown distribution of a random variable based on its single observation. We present known results of constructing a minimax decision rules for one-dimensional case equivalent to a problem of equitable optimal partitioning of a measurable space. An example of finding a minimax decision rule for two-dimensional case is given.