Aretha L Teckentrup

Cited by

	All	Since 2018
Citations	1980	1351
h-index	13	12
i10-index	15	13

260

130

195

20112012201320142015201620172018201920202021202220235 31 70 80 121 158 143 196 209 243 227 226 246

Public access

View all

10 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Robert ScheichlHeidelberg UniversityVerified email at uni-heidelberg.de
Chris KetelsenR&D Scientist, DigitalGlobeVerified email at digitalglobe.com
Michael B. GilesProfessor of Scientific Computing, University of OxfordVerified email at maths.ox.ac.uk
Andrew M StuartComputing + Mathematical Sciences, CaltechVerified email at caltech.edu
K Andrew CliffeSchool of Mathematical Sciences, University of NottinghamVerified email at nottingham.ac.uk
Tim DodwellCo founder & CTO at digiLab, Professor at University ExeterVerified email at digilab.co.uk
Clayton WebsterUniversity of Texas at AustinVerified email at utexas.edu
Peter JantschWheaton CollegeVerified email at wheaton.edu
Elisabeth UllmannTechnical University of MunichVerified email at ma.tum.de
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Matthew DunlopCourant Institute, New York UniversityVerified email at nyu.edu
Han Cheng LieProfessor (W1) for Uncertainty Quantification, Universität PotsdamVerified email at uni-potsdam.de
T. J. SullivanUniversity of WarwickVerified email at warwick.ac.uk
Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Catherine E PowellMathematics, University of ManchesterVerified email at manchester.ac.uk
Abdul-Lateef Haji-AliHeriot-Watt UniversityVerified email at hw.ac.uk
Konstantinos ZygalakisUniversity of EdinburghVerified email at ed.ac.uk
Anastasia IstratucaUniversity of EdinburghVerified email at sms.ed.ac.uk
Martin Thomas BrollySchool of Mathematics, University of EdinburghVerified email at ed.ac.uk
Tapio HelinLUT UniversityVerified email at lut.fi

Aretha L Teckentrup

Reader in Mathematics of Data Science, University of Edinburgh

Verified email at ed.ac.uk - Homepage

Uncertainty Quantification Inverse Problems Numerical Analysis


Title Sort by citations Sort by year Sort by 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, 3-15, 2011	638	2011
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	253	2013
Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients AL Teckentrup, R Scheichl, MB Giles, E Ullmann Numerische Mathematik 125, 569-600, 2013	247	2013
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	179*	2015
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	151	2015
How deep are deep Gaussian processes? MM Dunlop, MA Girolami, AM Stuart, AL Teckentrup Journal of Machine Learning Research 19 (54), 1-46, 2018	129	2018
Posterior consistency for Gaussian process approximations of Bayesian posterior distributions A Stuart, A Teckentrup Mathematics of Computation 87 (310), 721-753, 2018	119	2018
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	68	2017
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	47	2020
Multilevel Markov chain Monte Carlo TJ Dodwell, C Ketelsen, R Scheichl, AL Teckentrup Siam Review 61 (3), 509-545, 2019	45	2019
Multilevel Monte Carlo Methods and Uncertainty Quantification AL Teckentrup University of Bath, 2013	28	2013
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	25	2018
Multilevel Monte Carlo methods for highly heterogeneous media AL Teckentrup Proceedings of the 2012 Winter Simulation Conference (WSC), 1-12, 2012	16	2012
Optimal point sets for total degree polynomial interpolation in moderate dimensions M Gunzburger, AL Teckentrup arXiv preprint arXiv:1407.3291, 2014	11	2014
Adaptive multilevel Monte Carlo for probabilities AL Haji-Ali, J Spence, AL Teckentrup SIAM Journal on Numerical Analysis 60 (4), 2125-2149, 2022	10	2022
A locally adaptive Bayesian cubature method M Fisher, C Oates, C Powell, A Teckentrup International Conference on Artificial Intelligence and Statistics, 1265-1275, 2020	5	2020
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	3	2019
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	3	2015
Error bounds for some approximate posterior measures in Bayesian inference HC Lie, TJ Sullivan, A Teckentrup Numerical Mathematics and Advanced Applications ENUMATH 2019: European …, 2020	2	2020
Smoothed Circulant Embedding with Applications to Multilevel Monte Carlo Methods for PDEs with Random Coefficients A Istratuca, A Teckentrup arXiv preprint arXiv:2306.13493, 2023	1	2023

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors