Aretha Teckentrup
#46,704
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British mathematician and data scientist
Aretha Teckentrup's AcademicInfluence.com Rankings
Aretha Teckentrupmathematics Degrees
Mathematics
#2643
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#4048
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Applied Mathematics
#171
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#189
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Measure Theory
#4255
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#5011
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Aretha Teckentrupcomputer-science Degrees
Computer Science
#3853
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#4049
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Data Science
#303
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#310
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Algorithms
#473
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#479
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Machine Learning
#5746
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#5826
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Mathematics Computer Science
Aretha Teckentrup's Degrees
- Bachelors Mathematics University of Oxford
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Why Is Aretha Teckentrup Influential?
(Suggest an Edit or Addition)According to Wikipedia, Aretha Leonore Teckentrup is a UK-based mathematician, known for her research on uncertainty quantification and numerical analysis. Her work focuses on multilevel Monte Carlo methods for the numerical solution of partial differential equations, Gaussian processes and Bayesian inference. She is a reader in the mathematics of data science at the University of Edinburgh.
Aretha Teckentrup's Published Works
Published Works
- Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011) (501)
- Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients (2012) (202)
- Finite Element Error Analysis of Elliptic PDEs with Random Coefficients and Its Application to Multilevel Monte Carlo Methods (2013) (195)
- A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow (2013) (139)
- A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2014) (113)
- How Deep Are Deep Gaussian Processes? (2017) (99)
- Posterior consistency for Gaussian process approximations of Bayesian posterior distributions (2016) (96)
- Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems (2016) (53)
- Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems (2019) (30)
- Multilevel Markov Chain Monte Carlo (2019) (28)
- Random forward models and log-likelihoods in Bayesian inverse problems (2017) (20)
- Multilevel Monte Carlo Methods and Uncertainty Quantication (2013) (13)
- Multilevel Monte Carlo methods for highly heterogeneous media (2012) (12)
- Optimal Point Sets for Total Degree Polynomial Interpolation in Moderate Dimensions (2014) (11)
- Adaptive Multilevel Monte Carlo for Probabilities (2021) (6)
- Improved Multilevel Monte Carlo Methods for Finite Volume Discretisations of Darcy Flow in Randomly Layered Media (2015) (4)
- A Locally Adaptive Bayesian Cubature Method (2019) (2)
- Error bounds for some approximate posterior measures in Bayesian inference (2019) (2)
- A multilevel stochastic collocation method for SPDEs (2015) (2)
- Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients (2013) (2)
- Bayesian comparison of stochastic models of dispersion (2022) (0)
- Quasi- and Multilevel Monte Carlo Methods for Bayesian Inverse Problems in Subsurface Flow (2015) (0)
- Edinburgh Research Explorer Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems (2020) (0)
- MLMCMC – Multilevel Markov Chain Monte (2013) (0)
- Data Assimilation – Mathematical Foundation and Applications (2023) (0)
- MULTILEVEL ACCELERATION OF STOCHASTIC COLLOCATION METHODS FOR PDE WITH RANDOM INPUT DATA (2013) (0)
- Book of Abstracts (2011) (0)
- Quasi- and Multilevel Monte Carlo methods for Bayesian elliptic inverse problems (2015) (0)
- Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures (2023) (0)
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What Schools Are Affiliated With Aretha Teckentrup?
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