Edinburgh Research Explorer
  1. 2018
  2. Accuracy of Some Approximate Gaussian Filters for the Navier--Stokes Equation in the Presence of Model Error

    Branicki, M., Majda, A. J. & Law, K. J. H., 8 Nov 2018, In : Multiscale Modeling and Simulation. 16, 4, p. 1756–1794 37 p.

    Research output: Contribution to journalArticle

  3. 2017
  4. Marangoni flow driven maze solving

    Suzuno, K., Ueyama, D., Branicki, M., Toth, R., Braun, A. & Lagzi, I., 2017, Advances in unconventional computing : Emergence, Complexity and computation . Adamatzky, A. (ed.). Springer, p. 237-243 8 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  5. 2015
  6. Information Theory for Climate Change and Prediction

    Branicki, M., 21 Nov 2015, Encyclopedia of Applied and Computational Mathematics. Engquist, B. (ed.). Springer, p. 682-686 92 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  7. An information-theoretic framework for improving Multi Model Ensemble forecasts

    Branicki, M. & Majda, A. J., Jun 2015, In : Journal of Nonlinear Science. 25, 3, p. 489-538 50 p.

    Research output: Contribution to journalArticle

  8. Maze solving using temperature-induced Marangoni flow

    Lovass, P., Branicki, M., Toth, R., Braun, A., Suzuno, K., Ueyama, D. & Laqzi, I., 22 May 2015, In : RSC Advances. 5, 60, p. 48563-48568

    Research output: Contribution to journalArticle

  9. 2014
  10. Maze Solving Using Fatty Acid Chemistry

    Suzuno, K., Ueyama, D., Branicki, M., Toth, R., Braun, A. & Lagzi, I., 12 Aug 2014, In : Langmuir. 30, 31, p. 9251-9255 5 p.

    Research output: Contribution to journalArticle

  11. QUANTIFYING BAYESIAN FILTER PERFORMANCE FOR TURBULENT DYNAMICAL SYSTEMS THROUGH INFORMATION THEORY

    Branicki, M. & Majda, A. J., 2014, In : Communications in Mathematical Sciences. 12, 5, p. 901-978 78 p.

    Research output: Contribution to journalArticle

  12. 2013
  13. Interpreting cross-correlations of one-bit filtered seismic noise

    Hanasoge, S. M. & Branicki, M., Dec 2013, In : Geophysical Journal International. 195, 3, p. 1811-1830 20 p.

    Research output: Contribution to journalArticle

  14. Dynamic Stochastic Superresolution of sparsely observed turbulent systems

    Branicki, M. & Majda, A. J., 5 May 2013, In : Journal of Computational Physics. 241, p. 333-363 31 p.

    Research output: Contribution to journalArticle

  15. Non-Gaussian Test Models for Prediction and State Estimation with Model Errors

    Branicki, M., Chen, N. & Majda, A. J., 1 Jan 2013, In : Chinese Annals of Mathematics. Series B. 34, 1, p. 29-64 36 p.

    Research output: Contribution to journalArticle

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