Free access article
| Issue |
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ESAIM: P&S
Volume 9,
2005
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Page(s)
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220 - 229 |
| DOI |
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10.1051/ps:2005011 |
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References of
June 2005, Vol. 9, p. 220-229-
A.R. Barron,
Universal approximation bounds for superpositions of a sigmoidal
function.
IEEE Trans. Inform. Theory 39 (1993) 930-945 [CrossRef] [MathSciNet].
-
A.R. Barron,
Approximation and estimation bounds for artificial neural networks.
Machine Learning 14 (1994) 115-133.
-
L. Birgé and P. Massart,
Rates of convergence for minimum contrast estimators.
Probab. Theory Related Fields 97 (1993) 113-150 [CrossRef] [MathSciNet].
-
R.M. Dudley,
Uniform Central Limit Theorems.
Cambridge University Press (1999).
-
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.
-
M. Ledoux and M. Talagrand,
Probability in Banach Spaces.
Springer-Verlag, New York (1991).
-
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).
-
J. Li,
Estimation of Mixture Models.
Ph.D. Thesis, The Department of Statistics. Yale University (1999).
-
C. McDiarmid,
On the method of bounded differences.
Surveys in Combinatorics (1989) 148-188.
-
S. Mendelson,
On the size of convex hulls of small sets.
J. Machine Learning Research 2 (2001) 1-18.
-
P. Niyogi and F. Girosi,
Generalization bounds for function approximation from scattered noisy
data.
Adv. Comput. Math. 10 (1999) 51-80 [CrossRef] [MathSciNet].
-
S.A. van de Geer,
Rates of convergence for the maximum likelihood estimator in mixture
models.
Nonparametric Statistics 6 (1996) 293-310 [MathSciNet].
-
S.A. van de Geer,
Empirical Processes in M-Estimation.
Cambridge University Press (2000).
-
A.W. van der Vaart and J.A. Wellner,
Weak Convergence and Empirical Processes with Applications to
Statistics.
Springer-Verlag, New York (1996).
-
W.H. Wong and X. Shen,
Probability inequalities for likelihood ratios and convergence rates
for sieve mles.
Ann. Stat. 23 (1995) 339-362.
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