Outputs (3)

Uncertainty in Engineering - Introduction to Methods and Applications (2021)
Book
Aslett, L., Coolen, F., & De Bock, J. (Eds.). (2022). Uncertainty in Engineering - Introduction to Methods and Applications. Springer Verlag. https://doi.org/10.1007/978-3-030-83640-5

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability th... Read More about Uncertainty in Engineering - Introduction to Methods and Applications.

Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers (2021)
Book Chapter
Aslett, L. J. M. (2022). Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers. In L. J. Aslett, F. P. Coolen, & J. De Bock (Eds.), Uncertainty in Engineering (15-35). Springer. https://doi.org/10.1007/978-3-030-83640-5_2

Models which are constructed to represent the uncertainty arising in engineered systems can often be quite complex to ensure they provide a reasonably faithful reflection of the real-world system. As a result, even computation of simple expectations,... Read More about Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers.

Model updating after interventions paradoxically introduces bias (2021)
Presentation / Conference Contribution
Liley, J., Emerson, S., Mateen, B., Vallejos, C., Aslett, L., & Vollmer, S. (2021, December). Model updating after interventions paradoxically introduces bias. Presented at The 24th International Conference on Artificial Intelligence and Statistics, Virtual