Aretha Teckentrup
Aretha Teckentrup
Lecturer in Mathematics of Data Science, University of Edinburgh
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
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), 3-15, 2011
5242011
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
2202013
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
2142013
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
1282015
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
1142015
Posterior consistency for Gaussian process approximations of Bayesian posterior distributions
A Stuart, A Teckentrup
Mathematics of Computation 87 (310), 721-753, 2018
822018
How deep are deep Gaussian processes?
MM Dunlop, MA Girolami, AM Stuart, AL Teckentrup
Journal of Machine Learning Research 19 (54), 1-46, 2018
792018
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
442017
Multilevel Monte Carlo Methods and Uncertainty Quantification
AL Teckentrup
University of Bath, 2013
282013
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
212018
Multilevel markov chain monte carlo
TJ Dodwell, C Ketelsen, R Scheichl, AL Teckentrup
Siam Review 61 (3), 509-545, 2019
192019
Multilevel Monte Carlo methods for highly heterogeneous media
AL Teckentrup
Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012
142012
Convergence of Gaussian process regression with estimated hyper-parameters and applications in Bayesian inverse problems
AL Teckentrup
SIAM/ASA Journal on Uncertainty Quantification 8 (4), 1310-1337, 2020
132020
Optimal point sets for total degree polynomial interpolation in moderate dimensions
M Gunzburger, AL Teckentrup
arXiv preprint arXiv:1407.3291, 2014
112014
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
A locally adaptive Bayesian cubature method
M Fisher, C Oates, C Powell, A Teckentrup
International Conference on Artificial Intelligence and Statistics, 1265-1275, 2020
22020
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
22019
Error bounds for some approximate posterior measures in Bayesian inference
HC Lie, TJ Sullivan, A Teckentrup
Numerical Mathematics and Advanced Applications ENUMATH 2019, 275-283, 2021
12021
Adaptive Multilevel Monte Carlo for Probabilities
AL Haji-Ali, J Spence, A Teckentrup
arXiv preprint arXiv:2107.09148, 2021
2021
A multilevel stochastic collocation method for SPDEs
M Gunzburger, P Jantsch, A Teckentrup, C Webster
AIP Conference Proceedings 1648 (1), 020005, 2015
2015
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