References

  • M. Hegland. Approximate maximum a posteriori with Gaussian process priors. Constructive Approximation, 26(2):225--287, 2007.
  • B. Scholkopf and A. Smola. Learning with Kernels, Support Vector Machines, Regularization, Optimization and Beyond. MIT Press, Cambridge, MA, 2002.
  • B. W. Silverman. Density estimation for statistics and data analysis. Monographs on Statistics and Applied Probability. Chapman and Hall, London, 1986.
  • E. Zeidler. Nonlinear functional analysis and its applications. III. Springer--Verlag, New York, 1985. Variational methods and optimization, Translated from the German by Leo F. Boron.
  • V. I. Bogachev. Gaussian measures, volume 62 of Mathematical Surveys and Monographs. American Mathematical Society, Providence, RI, 1998.
  • H.-J. Bungartz and M. Griebel. Acta Numerica, volume 13, chapter Sparse Grids, pages 1--123. Cambridge University Press, 2004.
  • M. Griebel, M. Schneider, and C. Zenger. A combination technique for the solution of sparse grid problems. In Iterative methods in linear algebra (Brussels, 1991), pages 263--281. North--Holland, Amsterdam, 1992.
  • Peter Hahnen. Nichtlineare numerische Verfahren zur multivariaten Dichteschatzung. Diplomarbeit, Institut fur Numerische Simulation, Universitat Bonn, 2006.




Remember, for most actions you have to record/upload into this online system
and then inform the editor/author via clicking on an email icon or Completion button.
ANZIAM Journal, ISSN 1446-8735, copyright Australian Mathematical Society.