References in zbMATH (referenced in 73 articles )

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  1. Hinrichs, Aicke; Kritzer, Peter; Pillichshammer, Friedrich; Wasilkowski, G. W.: Truncation dimension for linear problems on multivariate function spaces (2019)
  2. Adcock, Ben; Bao, Anyi; Jakeman, John D.; Narayan, Akil: Compressed sensing with sparse corruptions: fault-tolerant sparse collocation approximations (2018)
  3. Brauchart, Johann S.: Explicit families of functions on the sphere with exactly known Sobolev space smoothness (2018)
  4. Heitzinger, Clemens; Pammer, Gudmund; Rigger, Stefan: Cubature formulas for multisymmetric functions and applications to stochastic partial differential equations (2018)
  5. Mak, Simon; Joseph, V. Roshan: Support points (2018)
  6. Amaral, Sergio; Allaire, Douglas; Willcox, Karen: Optimal (L_2)-norm empirical importance weights for the change of probability measure (2017)
  7. Butler, T.; Graham, L.; Mattis, S.; Walsh, S.: A measure-theoretic interpretation of sample based numerical integration with applications to inverse and prediction problems under uncertainty (2017)
  8. Liao, Qinzhuo; Zhang, Dongxiao; Tchelepi, Hamdi: A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media (2017)
  9. Salehi, Saeed; Raisee, Mehrdad; Cervantes, Michel J.; Nourbakhsh, Ahmad: Efficient uncertainty quantification of stochastic CFD problems using sparse polynomial chaos and compressed sensing (2017)
  10. Shin, Yeonjong; Xiu, Dongbin: A randomized algorithm for multivariate function approximation (2017)
  11. van den Bos, L. M. M.; Koren, B.; Dwight, R. P.: Non-intrusive uncertainty quantification using reduced cubature rules (2017)
  12. Wu, Kailiang; Shin, Yeonjong; Xiu, Dongbin: A randomized tensor quadrature method for high dimensional polynomial approximation (2017)
  13. Bigoni, Daniele; Engsig-Karup, Allan P.; Marzouk, Youssef M.: Spectral tensor-train decomposition (2016)
  14. De Luigi, Christophe; Lelong, Jérôme; Maire, Sylvain: Robust adaptive numerical integration of irregular functions with applications to basket and other multi-dimensional exotic options (2016)
  15. Gorodetsky, Alex; Marzouk, Youssef: Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation (2016)
  16. Harase, Shin: A search for extensible low-WAFOM point sets (2016)
  17. Matsumoto, Makoto; Ohori, Ryuichi: Walsh figure of merit for digital nets: an easy measure for higher order convergent QMC (2016)
  18. Shin, Yeonjong; Xiu, Dongbin: Correcting data corruption errors for multivariate function approximation (2016)
  19. Shin, Yeonjong; Xiu, Dongbin: Nonadaptive quasi-optimal points selection for least squares linear regression (2016)
  20. Shin, Yeonjong; Xiu, Dongbin: On a near optimal sampling strategy for least squares polynomial regression (2016)

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