EDP Sciences Journals List
Home Document
Subscriber Authentication Point
Free access article

Issue ESAIM: PS
Volume 9, 2005
Page(s) 220 - 229
DOI 10.1051/ps:2005011

References of  June 2005, Vol. 9, p. 220-229
  1. A.R. Barron, Universal approximation bounds for superpositions of a sigmoidal function. IEEE Trans. Inform. Theory 39 (1993) 930-945 [CrossRef] [MathSciNet].
  2. A.R. Barron, Approximation and estimation bounds for artificial neural networks. Machine Learning 14 (1994) 115-133.
  3. L. Birgé and P. Massart, Rates of convergence for minimum contrast estimators. Probab. Theory Related Fields 97 (1993) 113-150 [CrossRef] [MathSciNet].
  4. R.M. Dudley, Uniform Central Limit Theorems. Cambridge University Press (1999).
  5. L.K. Jones, A simple lemma on greedy approximation in Hilbert space and convergence rates for Projection Pursuit Regression and neural network training. Ann. Stat. 20 (1992) 608-613.
  6. M. Ledoux and M. Talagrand, Probability in Banach Spaces. Springer-Verlag, New York (1991).
  7. J. Li and A. Barron, Mixture density estimation, in Advances in Neural information processings systems 12, S.A. Solla, T.K. Leen and K.-R. Muller Ed. San Mateo, CA. Morgan Kaufmann Publishers (1999).
  8. J. Li, Estimation of Mixture Models. Ph.D. Thesis, The Department of Statistics. Yale University (1999).
  9. C. McDiarmid, On the method of bounded differences. Surveys in Combinatorics (1989) 148-188.
  10. S. Mendelson, On the size of convex hulls of small sets. J. Machine Learning Research 2 (2001) 1-18.
  11. P. Niyogi and F. Girosi, Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10 (1999) 51-80 [CrossRef] [MathSciNet].
  12. S.A. van de Geer, Rates of convergence for the maximum likelihood estimator in mixture models. Nonparametric Statistics 6 (1996) 293-310 [MathSciNet].
  13. S.A. van de Geer, Empirical Processes in M-Estimation. Cambridge University Press (2000).
  14. A.W. van der Vaart and J.A. Wellner, Weak Convergence and Empirical Processes with Applications to Statistics. Springer-Verlag, New York (1996).
  15. W.H. Wong and X. Shen, Probability inequalities for likelihood ratios and convergence rates for sieve mles. Ann. Stat. 23 (1995) 339-362.



What is OpenURL?

The OpenURL standard is a protocol for transmission of metadata describing the resource that you wish to access. An OpenURL link contains article metadata and directs it to the OpenURL server of your choice. The OpenURL server can provide access to the resource and also offer complementary services (specific search engine, export of references...). The OpenURL link can be generated by different means.
  • If your librarian has set up your subscription with an OpenURL resolver, OpenURL links appear automatically on the abstract pages.
  • You can define your own OpenURL resolver with your EDPS Account. In this case your choice will be given priority over that of your library.
  • You can use an add-on for your browser (Firefox or I.E.) to display OpenURL links on a page (see http://www.openly.com/openurlref/). You should disable this module if you wish to use the OpenURL server that you or your library have defined.