References in zbMATH (referenced in 24 articles )

Showing results 1 to 20 of 24.
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  1. Mercader, Pedro; Soltesz, Kristian; Baños, Alfonso: Robust PID design by chance-constrained optimization (2017)
  2. Eggleston, Jonathan: An efficient decomposition of the expectation of the maximum for the multivariate normal and related distributions (2016)
  3. Fox, Jeremy T.; Kim, Kyoo il; Yang, Chenyu: A simple nonparametric approach to estimating the distribution of random coefficients in structural models (2016)
  4. Keshavarzzadeh, V.; Masri, S.F.: Identification of discontinuous nonlinear systems via a multivariate Padé approach (2016)
  5. Bernardo, Fernando P.: Performance of cubature formulae in probabilistic model analysis and optimization (2015)
  6. Chen, Michael; Mehrotra, Sanjay; Papp, Dávid: Scenario generation for stochastic optimization problems via the sparse grid method (2015)
  7. Chernov, Alexey; von Petersdorff, Tobias; Schwab, Christoph: Quadrature algorithms for high dimensional singular integrands on simplices (2015)
  8. Rosić, Bojana V.; Matthies, Hermann G.: Variational theory and computations in stochastic plasticity (2015)
  9. Bhat, Chandra R.: The composite marginal likelihood (CML) inference approach with applications to discrete and mixed dependent variable models (2014)
  10. Geraci, Marco; Bottai, Matteo: Linear quantile mixed models (2014)
  11. Reynaert, Mathias; Verboven, Frank: Improving the performance of random coefficients demand models: the role of optimal instruments (2014)
  12. Chernov, Alexey; Reinarz, Anne: Numerical quadrature for high-dimensional singular integrals over parallelotopes (2013)
  13. De Jong, David N.; Liesenfeld, Roman; Moura, Guilherme V.; Richard, Jean-François; Dharmarajan, Hariharan: Efficient likelihood evaluation of state-space representations (2013)
  14. Geletu, Abebe; Klöppel, Michael; Zhang, Hui; Li, Pu: Advances and applications of chance-constrained approaches to systems optimisation under uncertainty (2013)
  15. Mehrotra, Sanjay; Papp, Dávid: Generating moment matching scenarios using optimization techniques (2013)
  16. Emery, A.F.; Johnson, K.C.: Practical considerations when using sparse grids with Bayesian inference for parameter estimation (2012)
  17. Jia, Bin; Xin, Ming; Cheng, Yang: Sparse-grid quadrature nonlinear filtering (2012)
  18. Zimmer, Christoph: Parameter estimation for stochastic models of biochemical reactions. (2012)
  19. Holtz, Markus: Sparse grid quadrature in high dimensions with applications in finance and insurance (2011)
  20. Winschel, Viktor; Krätzig, Markus: Solving, estimating, and selecting nonlinear dynamic models without the curse of dimensionality (2010)

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