12 citations · 37 across the 5 of their papers we have counts for
5 papers
Adaptive sampling-based quadrature rules for efficient Bayesian prediction
L. M. M. van den Bos, B. Sanderse, W. A. A. M. Bierbooms
A novel method is proposed to infer Bayesian predictions of computationally expensive models. The method is based on the construction of quadrature rules, which are well-suited for…
Fatigue design load calculations of the offshore NREL 5MW benchmark turbine using quadrature rule techniques
L. M. M. van den Bos, W. A. A. M. Bierbooms, A. Alexandre +2
A novel approach is proposed to reduce, compared to the conventional binning approach, the large number of aeroelastic code evaluations that are necessary to obtain equivalent load…
A geometric approach for the addition of nodes to an interpolatory quadrature rule with positive weights
L. M. M. van den Bos, B. Sanderse
A novel mathematical framework is derived for the addition of nodes to univariate and interpolatory quadrature rules. The framework is based on the geometrical interpretation of th…
Generating nested quadrature rules with positive weights based on arbitrary sample sets
L. M. M. van den Bos, B. Sanderse, W. A. A. M. Bierbooms +1
For the purpose of uncertainty propagation a new quadrature rule technique is proposed that has positive weights, has high degree, and is constructed using only samples that descri…
Bayesian model calibration with interpolating polynomials based on adaptively weighted Leja nodes
L. M. M. van den Bos, B. Sanderse, W. A. A. M. Bierbooms +1
An efficient algorithm is proposed for Bayesian model calibration, which is commonly used to estimate the model parameters of non-linear, computationally expensive models using mea…