We develop algorithms for sampling from a probability distribution on a
submanifold embedded in Rn. Applications are given to the evaluation of
algorithms in 'Topological Statistics'; to goodness of fit tests in exponential
families and to Neyman's smooth test. This article is partially expository,
giving an introduction to the tools of geometric measure theory
