Two research articles published recently by Prof. Serge Guillas are currently occupying the top two positions as most read articles in the SIAM/ASA Journal on Uncertainty Quantification, the flagship journal of the field. These articles were written with Dr. Joakim Beck (former postdoctoral Research Associate in the Department) and Dr. Xiaoyu Liu (former PhD student in the Department), and are freely available:

  1. Beck, J., Guillas, S., (2016), Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model, SIAM/ASA Journal on Uncertainty Quantification, 4(1), 739–766. [currently most read article in SIAM/ASA Journal on Uncertainty Quantification]
  2. Liu, X., Guillas, S. (2017). Dimension reduction for Gaussian process emulation: an application to the influence of bathymetry on tsunami heights. SIAM/ASA Journal on Uncertainty Quantification, 5(1), 787-812. [currently second most read article in SIAM/ASA Journal on Uncertainty Quantification]