  In this paper, we examine a geometrical projection algorithm for statistical
inference. The algorithm is based on Pythagorean relation and it is
derivative-free as well as representation-free that is useful in nonparametric
cases. We derive a bound of learning rate to guarantee local convergence. In
special cases of m-mixture and e-mixture estimation problems, we calculate
specific forms of the bound that can be used easily in practice.
