High Performance Quadrature Rules: How Numerical Integration Affects a Popular Model of Product Differentiation

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Stability of Controllers for Gaussian Process Forward Models (2016, methodology): “The hyperparameters σ 2 n , σ 2 f , Λ are estimated by maximizing the log marginal likelihood of the data (Rasmussen & Williams, 2005).”
Estimation of Random-Coefficient Demand Models: Two Empiricists' Perspective (2014, methodology): “We refer the reader to Lagarias et al. (1998) for the mechanics of the NelderMead simplex.”
Expected drag minimization for aerodynamic design optimization based on aircraft operational data (2017, methodology): “Gauss–Hermite quadrature can be used to approximate the expectation integral via a change in variable when the integration variable is assumed to have a normal distribution [42].”