Joseph L. Hart

Saibaba, A. K., Hart, J., & Bloemen Waanders, B. (2021). Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis. NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS, 28(4). https://doi.org/10.1002/nla.2364

Hart, J. L., Bessac, J., & Constantinescu, E. M. (2019). Global Sensitivity Analysis for Statistical Model Parameters. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 7(1), 67–92. https://doi.org/10.1137/17M1161397

Hart, J. L., Gremaud, P. A., & David, T. (2019). Global Sensitivity Analysis of High-Dimensional Neuroscience Models: An Example of Neurovascular Coupling. BULLETIN OF MATHEMATICAL BIOLOGY, 81(6), 1805–1828. https://doi.org/10.1007/s11538-019-00578-0

Hart, J., & Gremaud, P. (2019). ROBUSTNESS OF THE SOBOL' INDICES TO DISTRIBUTIONAL UNCERTAINTY. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 9(5), 453–469. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2019030553

Hart, J. L., & Gremaud, P. A. (2019). Robustness of the Sobol' Indices to Marginal Distribution Uncertainty. SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 7(4), 1224–1244. https://doi.org/10.1137/18M123387X

Hart, J. L., & Gremaud, P. A. (2018). AN APPROXIMATION THEORETIC PERSPECTIVE OF SOBOL' INDICES WITH DEPENDENT VARIABLES. INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 8(6), 483–493. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2018026498

Hart, J. L., Alexanderian, A., & Gremaud, P. A. (2017). EFFICIENT COMPUTATION OF SOBOL' INDICES FOR STOCHASTIC MODELS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 39(4), A1514–A1530. https://doi.org/10.1137/16m106193x

Hart, J., Novak, V., Saunders, C., & Gremaud, P. A. (2016). Transcranial Doppler-Based Surrogates for Cerebral Blood Flow: A Statistical Study. PLOS ONE, 11(11). https://doi.org/10.1371/journal.pone.0165536