-
2
-
-
0000356348
-
Probability inequalities for empirical processes and a law of the iterated logarithm
-
[Correction (1987) 15 428-430.]
-
ALEXANDER, K. S. (1984). Probability inequalities for empirical processes and a law of the iterated logarithm. Ann. Probab. 12 1041-1067. [Correction (1987) 15 428-430.]
-
(1984)
Ann. Probab.
, vol.12
, pp. 1041-1067
-
-
Alexander, K.S.1
-
3
-
-
0043124612
-
Rates of growth and sample moduli for weighted empirical processes indexed by sets
-
ALEXANDER, K. S. (1987). Rates of growth and sample moduli for weighted empirical processes indexed by sets. Probab. Theory Related Fields 75 379-423.
-
(1987)
Probab. Theory Related Fields
, vol.75
, pp. 379-423
-
-
Alexander, K.S.1
-
5
-
-
0001347323
-
Complexity regularization with application to artificial neural networks
-
(G. Roussas, ed.). Kluwer, Dordrecht
-
BARRON, A. (1991). Complexity regularization with application to artificial neural networks. In Nonparametric Functional Estimation and Related Topics (G. Roussas, ed.) 561-576. Kluwer, Dordrecht.
-
(1991)
Nonparametric Functional Estimation and Related Topics
, pp. 561-576
-
-
Barron, A.1
-
7
-
-
21344492381
-
Rates of convergence for minimum contrast estimators
-
BIRGÉ, L. and MASSART, P. (1993). Rates of convergence for minimum contrast estimators. Probab. Theory Related Fields 97 113-150.
-
(1993)
Probab. Theory Related Fields
, vol.97
, pp. 113-150
-
-
Birgé, L.1
Massart, P.2
-
8
-
-
0030211964
-
Bagging predictors
-
BREIMAN, L. (1996). Bagging predictors. Machine Learning 24 123-140.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
9
-
-
0003802343
-
-
Wadsworth, Belmont, CA
-
BREIMAN, L., FRIEDMAN, J., OLSHEN, R. and STONE, C. (1984). Classification and Regression Trees. Wadsworth, Belmont, CA.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
10
-
-
0043289776
-
Analyzing bagging
-
BÜHLMANN, P. and YU, B. (2002). Analyzing bagging. Ann. Statist. 30 927-961.
-
(2002)
Ann. Statist.
, vol.30
, pp. 927-961
-
-
Bühlmann, P.1
Yu, B.2
-
14
-
-
0000765066
-
Metric entropy of some classes of sets with differentiable boundaries
-
DUDLEY, R. M. (1974). Metric entropy of some classes of sets with differentiable boundaries. J. Approximation Theory 10 227-236.
-
(1974)
J. Approximation Theory
, vol.10
, pp. 227-236
-
-
Dudley, R.M.1
-
15
-
-
0346398192
-
Scale-sensitive dimensions and skeleton estimates for classification
-
HORVÁTH, M. and LUGOSI, G. (1998). Scale-sensitive dimensions and skeleton estimates for classification. Discrete Appl. Math. 86 37-61.
-
(1998)
Discrete Appl. Math.
, vol.86
, pp. 37-61
-
-
Horváth, M.1
Lugosi, G.2
-
16
-
-
0035397715
-
Rademacher penalties and structural risk minimization
-
KOLTCHINSKII, V. (2001). Rademacher penalties and structural risk minimization. IEEE Trans. Inform. Theory 47 1902-1914.
-
(2001)
IEEE Trans. Inform. Theory
, vol.47
, pp. 1902-1914
-
-
Koltchinskii, V.1
-
17
-
-
0036104545
-
Empirical margin distributions and bounding the generalization error of combined classifiers
-
KOLTCHINSKII, V. and PANCHENKO, D. (2002). Empirical margin distributions and bounding the generalization error of combined classifiers. Ann. Statist. 30 1-50.
-
(2002)
Ann. Statist.
, vol.30
, pp. 1-50
-
-
Koltchinskii, V.1
Panchenko, D.2
-
19
-
-
0000012624
-
A problem of adaptive estimation in Gaussian white noise
-
LEPSKI, O. V. (1990). A problem of adaptive estimation in Gaussian white noise. Theory Probab. Appl. 35 454-166.
-
(1990)
Theory Probab. Appl.
, vol.35
, pp. 454-1166
-
-
Lepski, O.V.1
-
20
-
-
0033234644
-
Adaptive model selection using empirical complexities
-
LUGOSI, G. and NOBEL, A. (1999). Adaptive model selection using empirical complexities. Ann. Statist. 27 1830-1864.
-
(1999)
Ann. Statist.
, vol.27
, pp. 1830-1864
-
-
Lugosi, G.1
Nobel, A.2
-
21
-
-
21844497119
-
Asymptotical minimax recovery of sets with smooth boundaries
-
MAMMEN, E. and TSYBAKOV, A. B. (1995). Asymptotical minimax recovery of sets with smooth boundaries. Ann. Statist. 23 502-524.
-
(1995)
Ann. Statist.
, vol.23
, pp. 502-524
-
-
Mammen, E.1
Tsybakov, A.B.2
-
22
-
-
0033234630
-
Smooth discrimination analysis
-
MAMMEN, E. and TSYBAKOV, A. B. (1999). Smooth discrimination analysis. Ann. Statist. 27 1808-1829.
-
(1999)
Ann. Statist.
, vol.27
, pp. 1808-1829
-
-
Mammen, E.1
Tsybakov, A.B.2
-
23
-
-
0000595627
-
Some applications of concentration inequalities to statistics
-
MASSART, P. (2000). Some applications of concentration inequalities to statistics. Ann. Fac. Sci. Toulouse Math. 9 245-303.
-
(2000)
Ann. Fac. Sci. Toulouse Math.
, vol.9
, pp. 245-303
-
-
Massart, P.1
-
24
-
-
0032280519
-
Boosting the margin: A new explanation for the effectiveness of voting methods
-
SCHAPIRE, R. E., FREUND, Y., BARTLETT, P. L. and LEE, W. S. (1998). Boosting the margin: A new explanation for the effectiveness of voting methods. Ann. Statist. 26 1651-1686.
-
(1998)
Ann. Statist.
, vol.26
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.L.3
Lee, W.S.4
-
26
-
-
4744370055
-
Discussion of "Random rates in anisotropic regression," by M. Hoffmann and O. Lepskii
-
TSYBAKOV, A. B. (2002). Discussion of "Random rates in anisotropic regression," by M. Hoffmann and O. Lepskii. Ann. Statist. 30 379-385.
-
(2002)
Ann. Statist.
, vol.30
, pp. 379-385
-
-
Tsybakov, A.B.1
-
32
-
-
0033321586
-
Minimax nonparametric classification. I. Rates of convergence. II. Model selection for adaptation
-
YANG, Y. (1999). Minimax nonparametric classification. I. Rates of convergence. II. Model selection for adaptation. IEEE Trans. Inform. Theory 45 2271-2292.
-
(1999)
IEEE Trans. Inform. Theory
, vol.45
, pp. 2271-2292
-
-
Yang, Y.1
|