Edinburgh Research Explorer

Dr Aretha Teckentrup

Lectureship in the Mathematics of Data Science

  1. 2018
  2. Random forward models and log-likelihoods in Bayesian inverse problems

    Lie, H. C., Sullivan, T. & Teckentrup, A., 15 Nov 2018, In : SIAM/ASA Journal on Uncertainty Quantification. 6, 4, p. 1600–1629

    Research output: Contribution to journalArticle

  3. How Deep Are Deep Gaussian Processes?

    Dunlop, M., Girolami, M., Stuart, A. M. & Teckentrup, A., 9 Sep 2018, In : Journal of Machine Learning Research. 19, p. 1-46 46 p.

    Research output: Contribution to journalArticle

  4. Posterior Consistency for Gaussian Process Approximations of Bayesian Posterior Distributions

    Stuart, A. & Teckentrup, A., 2018, In : Mathematics of computation. 87, p. 721-753 33 p.

    Research output: Contribution to journalArticle

  5. 2017
  6. Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems

    Scheichl, R., Stuart, A. M. & Teckentrup, A. L., 27 Apr 2017, In : SIAM/ASA Journal on Uncertainty Quantification. 5, 1, p. 493-518 26 p.

    Research output: Contribution to journalArticle

  7. 2015
  8. A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data

    Teckentrup, A. L., Jantsch, P., Webster, C. G. & Gunzburger, M., Oct 2015, In : SIAM/ASA Journal on Uncertainty Quantification. 3, 1, p. 1046-1074 29 p.

    Research output: Contribution to journalArticle

  9. A multilevel stochastic collocation method for SPDEs

    Gunzburger, M., Jantsch, P., Teckentrup, A. & Webster, C., Apr 2015, Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014. American Institute of Physics Inc., Vol. 1648. 3 p. 020005

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow

    Dodwell, T. J., Ketelsen, C., Scheichl, R. & Teckentrup, A. L., 1 Jan 2015, In : SIAM/ASA Journal on Uncertainty Quantification. 3, 1, p. 1075-1108 34 p.

    Research output: Contribution to journalArticle

  11. 2014
  12. Optimal Point Sets for Total Degree Polynomial Interpolation in Moderate Dimensions

    Gunzburger, M. & Teckentrup, A. L., 11 Jul 2014, 17 p.

    Research output: Working paper

  13. 2013
  14. Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients

    Teckentrup, A. L., Scheichl, R., Giles, M. B. & Ullmann, E., Nov 2013, In : Numerische Mathematik. 125, 3, p. 569-600 32 p.

    Research output: Contribution to journalArticle

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