This paper discusses progress and future research possibilities in applying MLMC ideas to nested expectations of the form E[g(E[f(X, Y)|X])], with an outer expectation with respect to one random variable X, and an inner conditional expectation with respect to a second random variable Y. The difficulty in treating such applications is shown to depend on whether the function g is (1) smooth, (2) continuous and piecewise smooth, or (3) discontinuous.
CITATION STYLE
Giles, M. B. (2018). MLMC for nested expectations. In Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan (pp. 425–442). Springer International Publishing. https://doi.org/10.1007/978-3-319-72456-0_20
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