Troy D. Butler

22 papers A 1Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
A machine-learning enabled framework for quantifying uncertainties in parameters of computational models.
Comput. Math. Appl.
Taylor Roper, Harri Hakula, Troy D. Butler
2025 J jnl
Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion.
SIAM/ASA J. Uncertain. Quantification
Rebekah D. White, John D. Jakeman, Tim Wildey, Troy D. Butler
2025 A conf
Local Stochastic Sensitivity Analysis For Dynamical Systems.
AISTATS
Nishant Panda, Jehanzeb H. Chaudhry, Natalie Klein, James Carzon, Troy D. Butler
2025 J jnl
Variational Data-Consistent Assimilation.
CoRR
Rylan Spence, Troy D. Butler, Clint Dawson
2024 J jnl
A Distributions-Based Approach for Data-Consistent Inversion.
SIAM J. Sci. Comput.
Kirana Bergstrom, Troy D. Butler, Timothy Wildey
2024 J jnl
A Distributions-based Approach for Data-Consistent Inversion.
CoRR
Kirana Bergstrom, Troy D. Butler, Tim Wildey
2024 J jnl
From Displacements to Distributions: A Machine-Learning Enabled Framework for Quantifying Uncertainties in Parameters of Computational Models.
CoRR
Taylor Roper, Harri Hakula, Troy D. Butler
2024 J jnl
Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift.
CoRR
Carlos del-Castillo-Negrete, Rylan Spence, Troy D. Butler, Clint Dawson
2022 J jnl
Parameter Estimation with Maximal Updated Densities.
CoRR
Michael Pilosov, Carlos del-Castillo-Negrete, Tian Yu Yen, Troy D. Butler, Clint N. Dawson
2020 J jnl
Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion.
CoRR
Steven Mattis, Kyle Robert Steffen, Troy D. Butler, Clint N. Dawson, Donald J. Estep
2020 J jnl
Optimal experimental design for prediction based on push-forward probability measures.
J. Comput. Phys.
Troy D. Butler, John D. Jakeman, Tim Wildey
2018 J jnl
Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems.
SIAM J. Sci. Comput.
Troy D. Butler, John D. Jakeman, Tim Wildey
2018 J jnl
Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification.
SIAM J. Sci. Comput.
Troy D. Butler, John D. Jakeman, Tim Wildey
2017 J jnl
A Measure-Theoretic Interpretation of Sample Based Numerical Integration with Applications to Inverse and Prediction Problems under Uncertainty.
SIAM J. Sci. Comput.
Troy D. Butler, L. Graham, Steven Mattis, Scot Walsh
2015 J jnl
Quantifying uncertainty in material damage from vibrational data.
J. Comput. Phys.
Troy D. Butler, Antti Huhtala, Mika Juntunen
2014 J jnl
A Measure-Theoretic Computational Method for Inverse Sensitivity Problems III: Multiple Quantities of Interest.
SIAM/ASA J. Uncertain. Quantification
Troy D. Butler, Donald J. Estep, Simon Tavener, Clint Dawson, Joannes J. Westerink
2013 J jnl
Propagation of Uncertainties Using Improved Surrogate Models.
SIAM/ASA J. Uncertain. Quantification
Troy D. Butler, Clint Dawson, Tim Wildey
2012 J jnl
A Computational Measure Theoretic Approach to Inverse Sensitivity Problems II: A Posteriori Error Analysis.
SIAM J. Numer. Anal.
Troy D. Butler, Donald J. Estep, Jeff Sandelin
2012 J jnl
A Posteriori Error Analysis of Parameterized Linear Systems Using Spectral Methods.
SIAM J. Matrix Anal. Appl.
Troy D. Butler, Paul G. Constantine, Tim Wildey
2012 J jnl
Reparameterization for statistical state estimation applied to differential equations.
J. Comput. Phys.
Troy D. Butler, Mika Juntunen
2011 J jnl
A Measure-Theoretic Computational Method for Inverse Sensitivity Problems I: Method and Analysis.
SIAM J. Numer. Anal.
F. Jay Breidt, Troy D. Butler, Donald J. Estep
2011 J jnl
A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Expansions.
SIAM J. Sci. Comput.
Troy D. Butler, Clint Dawson, Tim Wildey