@inproceedings{9ebb5e734c6647df83327f090088d4bc,
title = "Error estimation in high dimensional space for stochastic collocation methods on arbitrary sparse samples",
abstract = "We have develop a fast method that can give high order error estimates of piecewise smooth functions in high dimensions with high order and low computational cost. This method can be used polynomial annihilation to estimate the smoothness of local regions of arbitrary samples in annihilation stochastic simulations. We compare the error estimation of this method to gaussian process error estimation techniques.",
keywords = "Uncertainty quantification, sampling",
author = "Rick Archibald",
year = "2013",
doi = "10.1063/1.4825645",
language = "English",
isbn = "9780735411845",
series = "AIP Conference Proceedings",
pages = "906--909",
booktitle = "11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013",
note = "11th International Conference of Numerical Analysis and Applied Mathematics 2013, ICNAAM 2013 ; Conference date: 21-09-2013 Through 27-09-2013",
}