Four decades in statistics of Uncertainty Quantification for computer modeling

Music City Center 

Nearly four decades ago the design and analysis of computer experiments began to emerge as a distinct sub discipline of statistics. That emergence and its subsequent explosive growth in methodology has paralleled the rise of virtual science and engineering: field and lab studies have been complemented or even supplanted by experiments with data from mathematical models. Statistics has proven to be crucial in Uncertainty Quantification (UQ) for such models, allowing for assessment of the accuracy of model predictions and the uncertainties associated with all aspects of computer modeling. This presentation will cover the highlights of this four decades of history.