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Aretha L. Teckentrup
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2020 – today
- 2024
- [j14]Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis:
Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. Stat. Comput. 34(4): 139 (2024) - [i8]Chris J. Oates, Toni Karvonen
, Aretha L. Teckentrup, Marina Strocchi, Steven A. Niederer:
Probabilistic Richardson Extrapolation. CoRR abs/2401.07562 (2024) - 2023
- [i7]Tapio Helin, Andrew M. Stuart, Aretha L. Teckentrup, Konstantinos Zygalakis:
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures. CoRR abs/2302.04518 (2023) - [i6]Anastasia Istratuca, Aretha L. Teckentrup:
Smoothed Circulant Embedding with Applications to Multilevel Monte Carlo Methods for PDEs with Random Coefficients. CoRR abs/2306.13493 (2023) - [i5]Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis:
Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. CoRR abs/2307.08343 (2023) - 2022
- [j13]Abdul-Lateef Haji-Ali
Adaptive Multilevel Monte Carlo for Probabilities. SIAM J. Numer. Anal. 60(4): 2125-2149 (2022) - 2021
- [i4]Abdul-Lateef Haji-Ali, Jonathan Spence, Aretha L. Teckentrup:
Adaptive Multilevel Monte Carlo for Probabilities. CoRR abs/2107.09148 (2021) - 2020
- [j12]Aretha L. Teckentrup
Convergence of Gaussian Process Regression with Estimated Hyper-Parameters and Applications in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 8(4): 1310-1337 (2020) - [c3]Matthew Fisher, Chris J. Oates, Catherine E. Powell, Aretha L. Teckentrup:
A Locally Adaptive Bayesian Cubature Method. AISTATS 2020: 1265-1275
2010 – 2019
- 2019
- [j11]Tim J. Dodwell, Christian Ketelsen, Robert Scheichl
ERRATUM: A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification 7(4): 1398-1399 (2019) - [j10]Tim J. Dodwell, Christian Ketelsen, Robert Scheichl
Multilevel Markov Chain Monte Carlo. SIAM Rev. 61(3): 509-545 (2019) - [c2]Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Error Bounds for Some Approximate Posterior Measures in Bayesian Inference. ENUMATH 2019: 275-283 - [i3]Aretha L. Teckentrup
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems. CoRR abs/1909.00232 (2019) - [i2]Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Error bounds for some approximate posterior measures in Bayesian inference. CoRR abs/1911.05669 (2019) - 2018
- [j9]Matthew M. Dunlop, Mark A. Girolami, Andrew M. Stuart, Aretha L. Teckentrup:
How Deep Are Deep Gaussian Processes? J. Mach. Learn. Res. 19: 54:1-54:46 (2018) - [j8]Han Cheng Lie
Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 6(4): 1600-1629 (2018) - [j7]Andrew M. Stuart
Posterior consistency for Gaussian process approximations of Bayesian posterior distributions. Math. Comput. 87(310): 721-753 (2018) - 2017
- [j6]Robert Scheichl
Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems. SIAM/ASA J. Uncertain. Quantification 5(1): 493-518 (2017) - [i1]Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup:
Random forward models and log-likelihoods in Bayesian inverse problems. CoRR abs/1712.05717 (2017) - 2015
- [j5]Aretha L. Teckentrup
A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data. SIAM/ASA J. Uncertain. Quantification 3(1): 1046-1074 (2015) - [j4]Tim J. Dodwell, Christian Ketelsen, Robert Scheichl
A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification 3(1): 1075-1108 (2015) - 2013
- [j3]Aretha L. Teckentrup
Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients. Numerische Mathematik 125(3): 569-600 (2013) - [j2]Julia Charrier, Robert Scheichl
Finite Element Error Analysis of Elliptic PDEs with Random Coefficients and Its Application to Multilevel Monte Carlo Methods. SIAM J. Numer. Anal. 51(1): 322-352 (2013) - 2012
- [c1]Aretha L. Teckentrup
Multilevel Monte Carlo methods for highly heterogeneous media. WSC 2012: 32:1-32:12 - 2011
- [j1]K. Andrew Cliffe, Mike B. Giles
Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients. Comput. Vis. Sci. 14(1): 3-15 (2011)
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