The research behind the equadratures project spans numerous topics ranging from applied mathematics to Bayesian inference, and computational simulation techniques. We are particularly interested in high-dimensional approximation, stochastic inference, and numerical integration for complex multivariate distributions. Click any card to go to the publication or pre-print.
Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations
Polynomial ridge flowfield estimation
Extremum Sensitivity Analysis with Polynomial Monte Carlo Filtering
Embedded ridge approximations
Blade Envelopes Part I: Concept and Methodology
Blade Envelopes Part II: Multiple Objectives and Inverse Design
Effectively Subsampled Quadratures for Least Squares Polynomial Approximations