-
1
-
-
0002168687
-
Are Bayes rules consistent in information?
-
T. M. Cover and B. Gopinath (Eds.), New York: Springer
-
A. Barron, "Are Bayes rules consistent in information?" in Open Problems in Communication and Computation, Ed. by T. M. Cover and B. Gopinath (Springer, New York, 1987), pp. 85-91.
-
(1987)
Open Problems in Communication and Computation
, pp. 85-91
-
-
Barron, A.1
-
2
-
-
0000864703
-
On estimating a density using Hellinger distance and some other strange facts
-
L. Birgé, "On estimating a density using Hellinger distance and some other strange facts", Probab. Theory Rel. Fields 71, 271-291 (1986).
-
(1986)
Probab. Theory Rel. Fields
, vol.71
, pp. 271-291
-
-
Birgé, L.1
-
3
-
-
33645301284
-
Model selection via testing: an alternative to (penalized) maximum likelihood estimators
-
L. Birgé, "Model selection via testing: an alternative to (penalized) maximum likelihood estimators", Ann. Inst. H. Poincaré (B) Probab. et Statist. 42, 273-325 (2006).
-
(2006)
Ann. Inst. H. Poincaré (B) Probab. Et Statist.
, vol.42
, pp. 273-325
-
-
Birgé, L.1
-
5
-
-
38049043619
-
Aggregation for Gaussian regression
-
F. Bunea, A. B. Tsybakov, and M. H. Wegkamp, "Aggregation for Gaussian regression", Ann. Statist. 35, 1674-1697 (2007).
-
(2007)
Ann. Statist.
, vol.35
, pp. 1674-1697
-
-
Bunea, F.1
Tsybakov, A.B.2
Wegkamp, M.H.3
-
6
-
-
0141577431
-
-
Paris: Laboratoire de Probabilités et Modèles Aléatoires, Universités Paris 6 and Paris 7
-
O. Catoni, "Universal" Aggregation Rules with Exact Bias Bounds, Preprint n. 510 (Laboratoire de Probabilités et Modèles Aléatoires, Universités Paris 6 and Paris 7, Paris, 1999), available at http://www. proba. jussieu. fr/mathdoc/preprints.
-
(1999)
Universal Aggregation Rules with Exact Bias Bounds
-
-
Catoni, O.1
-
10
-
-
0012973790
-
LAN in nonparametric estimation of functions and lower bounds for quadratic risks
-
G. K. Golubev, "LAN in nonparametric estimation of functions and lower bounds for quadratic risks", Theory Probab. Appl. 36, 152-157 (1991).
-
(1991)
Theory Probab. Appl.
, vol.36
, pp. 152-157
-
-
Golubev, G.K.1
-
12
-
-
0034362823
-
Functional aggregation for nonparametric regression
-
A. Juditsky and A. Nemirovski, "Functional aggregation for nonparametric regression", Ann. Statist. 28, 681-712 (2000).
-
(2000)
Ann. Statist.
, vol.28
, pp. 681-712
-
-
Juditsky, A.1
Nemirovski, A.2
-
13
-
-
0001663033
-
Mixture density estimation
-
S. A. Solla, T. K. Leen, and K.-R. Muller (Eds.), San Mateo, CA: Morgan Kaufmann Publ\
-
J. Q. Li and A. Barron, "Mixture density estimation", in Advances in Neural Information Processings Systems, Ed. by S. A. Solla, T. K. Leen, and K.-R. Muller, (Morgan Kaufmann Publ., San Mateo, CA, 1999), Vol. 12.
-
(1999)
Advances in Neural Information Processings Systems
-
-
Li, J.Q.1
Barron, A.2
-
14
-
-
0001366850
-
Exact mean integrated square error
-
M. C. Marron and M. P. Wand, "Exact mean integrated square error", Ann. Statist. 20, 712-713 (1992).
-
(1992)
Ann. Statist.
, vol.20
, pp. 712-713
-
-
Marron, M.C.1
Wand, M.P.2
-
16
-
-
0000056062
-
Optimal filtering of square integrable signals in Gaussian white noise
-
M. S. Pinsker, "Optimal filtering of square integrable signals in Gaussian white noise", Problems Inform. Transmission 16, 120-133 (1980).
-
(1980)
Problems Inform. Transmission
, vol.16
, pp. 120-133
-
-
Pinsker, M.S.1
-
17
-
-
33947416481
-
Adaptive density estimation using the blockwise Stein method
-
P. Rigollet, "Adaptive density estimation using the blockwise Stein method", Bernoulli 12, 351-370 (2006).
-
(2006)
Bernoulli
, vol.12
, pp. 351-370
-
-
Rigollet, P.1
-
18
-
-
77955150224
-
Inégalités d'oracle, agrégation et adaptation
-
available at
-
P. Rigollet, "Inégalités d'oracle, agrégation et adaptation", PhD thesis (2006), available at http://tel. archives-ouvertes. fr/tel-00115494.
-
(2006)
PhD thesis
-
-
Rigollet, P.1
-
19
-
-
54349102452
-
Aggregation of density estimators and dimension reduction
-
V. Nair (Ed.), Singapore e.a.: World Scientific
-
A. Samarov and A. B. Tsybakov, "Aggregation of density estimators and dimension reduction", in Advances in Statistical Modeling and Inference. Essays in Honor of Kjell A. Doksum, Ed. by V. Nair (World Scientific, Singapore e. a., 2007), pp. 233-251.
-
(2007)
Advances in Statistical Modeling and Inference. Essays in Honor of Kjell A. Doksum
, pp. 233-251
-
-
Samarov, A.1
Tsybakov, A.B.2
-
20
-
-
0002603666
-
2-minimax estimation of probability density functions
-
2-minimax estimation of probability density functions", Math. Methods Statist. 5, 253-274 (1996).
-
(1996)
Math. Methods Statist.
, vol.5
, pp. 253-274
-
-
Schipper, M.1
-
22
-
-
0001268552
-
A reliable data-based bandwidth selection method for kernel density estimation
-
S. J. Sheather and M. C. Jones, "A reliable data-based bandwidth selection method for kernel density estimation", J. Roy. Statist. Soc. Ser. B 53, 683-690 (1991).
-
(1991)
J. Roy. Statist. Soc. Ser. B
, vol.53
, pp. 683-690
-
-
Sheather, S.J.1
Jones, M.C.2
-
24
-
-
0001048793
-
An asymptotically optimal window selection rule for kernel density estimates
-
C. J. Stone, "An asymptotically optimal window selection rule for kernel density estimates", Ann. Statist. 12, 1285-1297 (1984).
-
(1984)
Ann. Statist.
, vol.12
, pp. 1285-1297
-
-
Stone, C.J.1
-
25
-
-
9444226947
-
Optimal rates of aggregation
-
Lecture Notes in Artificial Intelligence, B. Schölkopf and M. Warmuth (Eds.), Heidelberg: Springer
-
A. Tsybakov, (2003). "Optimal rates of aggregation", in Computational Learning Theory and Kernel Machines. Proc. 16th Annual Conference on Learning Theory (COLT) and 7th Annual Workshop on Kernel Machines, Ed. by B. Schölkopf and M. Warmuth, Lecture Notes in Artificial Intelligence (Springer, Heidelberg, 2003), Vol. 2777, pp. 303-313.
-
(2003)
Computational Learning Theory and Kernel Machines. Proc. 16th Annual Conference on Learning Theory (COLT) and 7th Annual Workshop on Kernel Machines
, pp. 303-313
-
-
Tsybakov, A.1
-
28
-
-
0033445980
-
Quasi-universal bandwidth selection for kernel density estimators
-
M. H. Wegkamp, "Quasi-universal bandwidth selection for kernel density estimators", Canad. J. Statist. 27, 409-420 (1999).
-
(1999)
Canad. J. Statist.
, vol.27
, pp. 409-420
-
-
Wegkamp, M.H.1
-
29
-
-
0034410225
-
Mixing strategies for density estimation
-
Y. Yang, "Mixing strategies for density estimation", Ann. Statist. 28, 75-87 (2000).
-
(2000)
Ann. Statist.
, vol.28
, pp. 75-87
-
-
Yang, Y.1
-
30
-
-
33847361463
-
From ∈-entropy to KL-entropy: analysis of minimum information complexity density estimation
-
T. Zhang, "From ∈-entropy to KL-entropy: analysis of minimum information complexity density estimation", Ann. Statist. 34, 2180-2210 (2006).
-
(2006)
Ann. Statist.
, vol.34
, pp. 2180-2210
-
-
Zhang, T.1
|