A principle of minimum expected risk

The problem of estimating a pmf q over a discrete and finite set of mutually exclusive events given prior (but incomplete) information does not generally have a unique solution, and a unique estimate is often determined by exercising a principle, such as the maximum likelihood principle, or the principle of maximum entropy. This paper proposes a nonparametric principle of minimum expected risk and explain why it might be an appropriate tool of inference for some applications.