| Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 user's … BM Adams, WJ Bohnhoff, KR Dalbey, MS Ebeida, JP Eddy, MS Eldred, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 1697* | 2020 |
| The future of sensitivity analysis: an essential discipline for systems modeling and policy support S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ... Environmental Modelling & Software 137, 104954, 2021 | 300 | 2021 |
| Enhancing ℓ1-minimization estimates of polynomial chaos expansions using basis selection JD Jakeman, MS Eldred, K Sargsyan Journal of Computational Physics 289, 18-34, 2015 | 199 | 2015 |
| Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purpose JHA Guillaume, JD Jakeman, S Marsili-Libelli, M Asher, P Brunner, ... Environmental Modelling & Software 119, 418-432, 2019 | 155 | 2019 |
| Adaptive Leja sparse grid constructions for stochastic collocation and high-dimensional approximation A Narayan, JD Jakeman SIAM Journal on Scientific Computing 36 (6), A2952-A2983, 2014 | 141 | 2014 |
| A generalized approximate control variate framework for multifidelity uncertainty quantification AA Gorodetsky, G Geraci, MS Eldred, JD Jakeman Journal of Computational Physics 408, 109257, 2020 | 134 | 2020 |
| Numerical approach for quantification of epistemic uncertainty J Jakeman, M Eldred, D Xiu Journal of Computational Physics 229 (12), 4648-4663, 2010 | 132 | 2010 |
| A survey of constrained Gaussian process regression: Approaches and implementation challenges LP Swiler, M Gulian, AL Frankel, C Safta, JD Jakeman Journal of Machine Learning for Modeling and Computing 1 (2), 2020 | 124 | 2020 |
| A Christoffel function weighted least squares algorithm for collocation approximations A Narayan, J Jakeman, T Zhou Mathematics of Computation 86 (306), 1913-1947, 2017 | 97 | 2017 |
| Polynomial chaos expansions for dependent random variables JD Jakeman, F Franzelin, A Narayan, M Eldred, D Plfüger Computer Methods in Applied Mechanics and Engineering 351, 643-666, 2019 | 88 | 2019 |
| Characterization of discontinuities in high-dimensional stochastic problems on adaptive sparse grids JD Jakeman, R Archibald, D Xiu Journal of Computational Physics 230 (10), 3977-3997, 2011 | 83 | 2011 |
| Local and dimension adaptive stochastic collocation for uncertainty quantification JD Jakeman, SG Roberts Sparse grids and applications, 181-203, 2012 | 81* | 2012 |
| A generalized sampling and preconditioning scheme for sparse approximation of polynomial chaos expansions JD Jakeman, A Narayan, T Zhou SIAM Journal on Scientific Computing 39 (3), A1114-A1144, 2017 | 80 | 2017 |
| Minimal multi-element stochastic collocation for uncertainty quantification of discontinuous functions JD Jakeman, A Narayan, D Xiu Journal of Computational Physics 242, 790-808, 2013 | 70 | 2013 |
| Modeling water quality in watersheds: From here to the next generation B Fu, JS Horsburgh, AJ Jakeman, C Gualtieri, T Arnold, L Marshall, ... Water Resources Research 56 (11), e2020WR027721, 2020 | 69 | 2020 |
| Combining push-forward measures and Bayes' rule to construct consistent solutions to stochastic inverse problems T Butler, J Jakeman, T Wildey SIAM Journal on Scientific Computing 40 (2), A984-A1011, 2018 | 68* | 2018 |
| Non-destructive simulation of node defects in additively manufactured lattice structures B Lozanovski, D Downing, R Tino, A du Plessis, P Tran, J Jakeman, ... Additive Manufacturing 36, 101593, 2020 | 60 | 2020 |
| Data-driven learning of nonautonomous systems T Qin, Z Chen, JD Jakeman, D Xiu SIAM Journal on Scientific Computing 43 (3), A1607-A1624, 2021 | 53 | 2021 |
| Adaptive multi‐index collocation for uncertainty quantification and sensitivity analysis JD Jakeman, MS Eldred, G Geraci, A Gorodetsky International Journal for Numerical Methods in Engineering 121 (6), 1314-1343, 2020 | 53 | 2020 |
| Local polynomial chaos expansion for linear differential equations with high dimensional random inputs Y Chen, J Jakeman, C Gittelson, D Xiu SIAM Journal on Scientific Computing 37 (1), A79-A102, 2015 | 49 | 2015 |
Alex GorodetskyAssistant Professor of Aerospace Engineering, University of Michigan在 umich.edu 的电子邮件经过验证
