Aretha Teckentrup
Aretha Teckentrup
Lecturer in Mathematics of Data Science, University of Edinburgh
Verified email at ed.ac.uk - Homepage
TitleCited byYear
Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients
KA Cliffe, MB Giles, R Scheichl, AL Teckentrup
Computing and Visualization in Science 14 (1), 3, 2011
4282011
Finite element error analysis of elliptic PDEs with random coefficients and its application to multilevel Monte Carlo methods
J Charrier, R Scheichl, AL Teckentrup
SIAM Journal on Numerical Analysis 51 (1), 322-352, 2013
1902013
Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients
AL Teckentrup, R Scheichl, MB Giles, E Ullmann
Numerische Mathematik 125 (3), 569-600, 2013
1722013
A hierarchical multilevel Markov chain Monte Carlo algorithm with applications to uncertainty quantification in subsurface flow
TJ Dodwell, C Ketelsen, R Scheichl, AL Teckentrup
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 1075-1108, 2015
912015
A multilevel stochastic collocation method for partial differential equations with random input data
AL Teckentrup, P Jantsch, CG Webster, M Gunzburger
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 1046-1074, 2015
722015
Posterior consistency for Gaussian process approximations of Bayesian posterior distributions
A Stuart, A Teckentrup
Mathematics of Computation 87 (310), 721-753, 2018
512018
How deep are deep Gaussian processes?
MM Dunlop, MA Girolami, AM Stuart, AL Teckentrup
The Journal of Machine Learning Research 19 (1), 2100-2145, 2018
342018
Quasi-Monte Carlo and multilevel Monte Carlo methods for computing posterior expectations in elliptic inverse problems
R Scheichl, AM Stuart, AL Teckentrup
SIAM/ASA Journal on Uncertainty Quantification 5 (1), 493-518, 2017
292017
Multilevel Monte Carlo Methods and Uncertainty Quantification
AL Teckentrup
University of Bath, 2013
202013
Multilevel Monte Carlo methods for highly heterogeneous media
AL Teckentrup
Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012
132012
Random forward models and log-likelihoods in Bayesian inverse problems
HC Lie, TJ Sullivan, AL Teckentrup
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1600-1629, 2018
112018
Optimal point sets for total degree polynomial interpolation in moderate dimensions
M Gunzburger, AL Teckentrup
arXiv preprint arXiv:1407.3291, 2014
92014
Multilevel Markov Chain Monte Carlo
TJ Dodwell, C Ketelsen, R Scheichl, AL Teckentrup
Siam Review 61 (3), 509-545, 2019
42019
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems
AL Teckentrup
arXiv preprint arXiv:1909.00232, 2019
32019
Improved multilevel Monte Carlo methods for finite volume discretisations of darcy flow in randomly layered media
M Park, A Teckentrup
arXiv preprint arXiv:1506.04694, 2015
32015
ERRATUM: A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow
TJ Dodwell, C Ketelsen, R Scheichl, AL Teckentrup
SIAM/ASA Journal on Uncertainty Quantification 7 (4), 1398-1399, 2019
12019
Error bounds for some approximate posterior measures in Bayesian inference
HC Lie, TJ Sullivan, A Teckentrup
arXiv preprint arXiv:1911.05669, 2019
2019
A Locally Adaptive Bayesian Cubature Method
MA Fisher, CJ Oates, C Powell, A Teckentrup
arXiv preprint arXiv:1910.02995, 2019
2019
A multilevel stochastic collocation method for SPDEs
M Gunzburger, P Jantsch, A Teckentrup, C Webster
AIP Conference Proceedings 1648 (1), 020005, 2015
2015
The system can't perform the operation now. Try again later.
Articles 1–19