Troy Butler
Troy Butler
Verified email at ucdenver.edu - Homepage
TitleCited byYear
A posteriori error analysis of stochastic differential equations using polynomial chaos expansions
T Butler, C Dawson, T Wildey
SIAM Journal on Scientific Computing 33 (3), 1267-1291, 2011
432011
A Measure-Theoretic Computational Method for Inverse Sensitivity Problems I: Method and Analysis
J Breidt, T Butler, D Estep
SIAM J. Numer. Analysis 49, 1836-1859, 2011
42*2011
A posteriori error analysis of parameterized linear systems using spectral methods
T Butler, P Constantine, T Wildey
SIAM Journal on Matrix Analysis and Applications 33 (1), 195-209, 2012
372012
A computational measure theoretic approach to inverse sensitivity problems II: A posteriori error analysis
T Butler, D Estep, J Sandelin
SIAM journal on numerical analysis 50 (1), 22-45, 2012
362012
Data assimilation within the Advanced Circulation (ADCIRC) modeling framework for the estimation of Manning’s friction coefficient
T Mayo, T Butler, C Dawson, I Hoteit
Ocean Modelling 76, 43-58, 2014
342014
Data assimilation within the advanced circulation (ADCIRC) modeling framework for hurricane storm surge forecasting
T Butler, MU Altaf, C Dawson, I Hoteit, X Luo, T Mayo
Monthly Weather Review 140 (7), 2215-2231, 2012
312012
A measure-theoretic computational method for inverse sensitivity problems III: Multiple quantities of interest
T Butler, D Estep, S Tavener, C Dawson, JJ Westerink
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 174-202, 2014
272014
Improving short-range ensemble Kalman storm surge forecasting using robust adaptive inflation
MU Altaf, T Butler, X Luo, C Dawson, T Mayo, I Hoteit
Monthly Weather Review 141 (8), 2705-2720, 2013
272013
Propagation of uncertainties using improved surrogate models
T Butler, C Dawson, T Wildey
SIAM/ASA Journal on Uncertainty Quantification 1 (1), 164-191, 2013
272013
A comparison of ensemble Kalman filters for storm surge assimilation
MU Altaf, T Butler, T Mayo, X Luo, C Dawson, AW Heemink, I Hoteit
Monthly Weather Review 142 (8), 2899-2914, 2014
222014
Definition and solution of a stochastic inverse problem for the Manning’sn parameter field in hydrodynamic models
T Butler, L Graham, D Estep, C Dawson, JJ Westerink
Advances in water resources 78, 60-79, 2015
212015
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
17*2018
Parameter estimation and prediction for groundwater contamination based on measure theory
SA Mattis, TD Butler, CN Dawson, D Estep, VV Vesselinov
Water Resources Research 51 (9), 7608-7629, 2015
112015
A numerical method for solving a stochastic inverse problem for parameters
T Butler, D Estep
Annals of nuclear energy 52, 86-94, 2013
112013
Solving stochastic inverse problems using sigma-algebras on contour maps
T Butler, D Estep, S Tavener, T Wildey, C Dawson, L Graham
arXiv preprint arXiv:1407.3851, 2014
102014
A measure-theoretic interpretation of sample based numerical integration with applications to inverse and prediction problems under uncertainty
T Butler, L Graham, S Mattis, S Walsh
SIAM Journal on Scientific Computing 39 (5), A2072-A2098, 2017
92017
Computational measure theoretic approach to inverse sensitivity analysis: Methods and analysis
TD Butler
Colorado State University, 2009
82009
A measure-theoretic algorithm for estimating bottom friction in a coastal inlet: case study of bay st. Louis during hurricane gustav (2008)
L Graham, T Butler, S Walsh, C Dawson, JJ Westerink
Monthly Weather Review 145 (3), 929-954, 2017
62017
Quantifying uncertainty in material damage from vibrational data
T Butler, A Huhtala, M Juntunen
Journal of Computational Physics 283, 414-435, 2015
52015
Reparameterization for statistical state estimation applied to differential equations
T Butler, M Juntunen
Journal of Computational Physics 231 (6), 2641-2654, 2012
52012
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Articles 1–20