-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
Ed. B. N. Petrov and F. Csaki. Budapest: Akademia Kiado
-
AKAIKE, H. (1973). Information theory and an extension of the maximum likelihood principle. In P roc. 2nd Int. Symp. Info. Theory, Ed. B. N. Petrov and F. Csaki, pp. 267-81. Budapest: Akademia Kiado.
-
(1973)
P Roc. 2nd Int. Symp. Info. Theory
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
0033459856
-
Risk bounds for model selection via penalization
-
BARRON, A. R., BIRGÉ, L. & MASSART, P. (1999). Risk bounds for model selection via penalization. Prob. Theory Rel. Fields 113, 301-413.
-
(1999)
Prob. Theory Rel. Fields
, vol.113
, pp. 301-413
-
-
Barron, A.R.1
Birgé, L.2
Massart, P.3
-
3
-
-
0028713026
-
Asymptotically optimal function estimation by minimum complexity criteria
-
Trondheim, Norway: IEEE Info. Theory Soc.
-
BARRON, A. R., YANG, Y. & Yu, B. (1994). Asymptotically optimal function estimation by minimum complexity criteria. In Proc. 1994 Int. Symp. Info. Theory, p. 38. Trondheim, Norway: IEEE Info. Theory Soc.
-
(1994)
Proc. 1994 Int. Symp. Info. Theory
, pp. 38
-
-
Barron, A.R.1
Yang, Y.2
Yu, B.3
-
4
-
-
0042107603
-
Objective Bayesian methods for model selection: Introduction and comparison
-
Ed. P. Lahiri. Institute of Mathematical Statistics Lecture Notes - Monograph Series Volume 38. Beachwood, OH: Inst. Math. Statist
-
BERGER, J. O. & PERICCHI, L. R. (2001). Objective Bayesian methods for model selection: introduction and comparison (with Discussion), In Model Selection, Ed. P. Lahiri, pp. 135-207. Institute of Mathematical Statistics Lecture Notes - Monograph Series Volume 38. Beachwood, OH: Inst. Math. Statist.
-
(2001)
Model Selection
, pp. 135-207
-
-
Berger, J.O.1
Pericchi, L.R.2
-
7
-
-
0030327799
-
A constrained risk inequality with applications to nonparametric functional estimation
-
BROWN, L. D. & Low, M. G. (1996). A constrained risk inequality with applications to nonparametric functional estimation. Ann. Statist. 24, 2524-35.
-
(1996)
Ann. Statist.
, vol.24
, pp. 2524-2535
-
-
Brown, L.D.1
Low, M.G.2
-
8
-
-
0031322288
-
Superefficiency in nonparametric function estimation
-
BROWN, L. D., Low, M. G. & ZHAO, L. H. (1997). Superefficiency in nonparametric function estimation. Ann. Statist. 25, 2607-25.
-
(1997)
Ann. Statist.
, vol.25
, pp. 2607-2625
-
-
Brown, L.D.1
Low, M.G.2
Zhao, L.H.3
-
9
-
-
0030336430
-
Prediction via orthogonalized model mixing
-
CLYDE, M., DESIMONE, H. & PARMIGIANI, G. (1996). Prediction via orthogonalized model mixing. J. Am. Statist. Assoc. 91, 1197-208.
-
(1996)
J. Am. Statist. Assoc.
, vol.91
, pp. 1197-1208
-
-
Clyde, M.1
Desimone, H.2
Parmigiani, G.3
-
10
-
-
0032334093
-
Minimax estimation via wavelet shrinkage
-
DONOHO, D. L. & JOHNSTONE, I. M. (1998). Minimax estimation via wavelet shrinkage. Ann. Statist. 26, 879-921.
-
(1998)
Ann. Statist.
, vol.26
, pp. 879-921
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
11
-
-
21844523862
-
The risk inflation criterion for multiple regression
-
FOSTER, D. P. & GEORGE, E. I. (1994). The risk inflation criterion for multiple regression. Ann. Statist. 22, 1947-75.
-
(1994)
Ann. Statist.
, vol.22
, pp. 1947-1975
-
-
Foster, D.P.1
George, E.I.2
-
12
-
-
0001729472
-
Calibration and empirical Bayes variable selection
-
GEORGE, E. I. & FOSTER, D. P. (2000). Calibration and empirical Bayes variable selection. Biometrika 87, 731-47.
-
(2000)
Biometrika
, vol.87
, pp. 731-747
-
-
George, E.I.1
Foster, D.P.2
-
13
-
-
0037598692
-
Local versus global models for classification problems: Fitting models where it matters
-
HAND, D. J. & VINCIOTTI, V. (2003). Local versus global models for classification problems: fitting models where it matters. Am. Statistician 57, 124-31.
-
(2003)
Am. Statistician
, vol.57
, pp. 124-131
-
-
Hand, D.J.1
Vinciotti, V.2
-
14
-
-
0141465819
-
Bridging AIC and BIC: An MDL model selection criterion
-
Santa Fe, NM: IEEE Info. Theory Soc.
-
HANSEN, M. & Yu, B. (1999). Bridging AIC and BIC: an MDL model selection criterion. In Proceedings of IEEE Information Theory Workshop on Detection, Estimation, Classification and Imaging, p. 63. Santa Fe, NM: IEEE Info. Theory Soc.
-
(1999)
Proceedings of IEEE Information Theory Workshop on Detection, Estimation, Classification and Imaging
, pp. 63
-
-
Hansen, M.1
Yu, B.2
-
15
-
-
0001259111
-
Bayesian model averaging: A tutorial
-
HOETING, J. A., MADIGAN, D., RAFTERY, A. E. & VOLINSKY, C. T. (1999). Bayesian model averaging: A tutorial (with Discussion). Statist. Sci. 14, 382-417.
-
(1999)
Statist. Sci.
, vol.14
, pp. 382-417
-
-
Hoeting, J.A.1
Madigan, D.2
Raftery, A.E.3
Volinsky, C.T.4
-
16
-
-
0001786903
-
Convergence of estimates under dimensionality restrictions
-
LE CAM, L. (1973). Convergence of estimates under dimensionality restrictions. Ann. Statist. 1, 38-53.
-
(1973)
Ann. Statist.
, vol.1
, pp. 38-53
-
-
Le Cam, L.1
-
17
-
-
15744376883
-
Model selection and inference: Facts and fiction
-
LEEB, H. & PÖTSCHER, B. (2005). Model selection and inference: facts and fiction. Economet. Theory 21, 21-59.
-
(2005)
Economet. Theory
, vol.21
, pp. 21-59
-
-
Leeb, H.1
Pötscher, B.2
-
18
-
-
0001462696
-
L, cross-validation and generalized cross-validation: Discrete index set
-
L, cross-validation and generalized cross-validation: Discrete index set. Ann. Statist. 15, 958-75.
-
(1987)
Ann. Statist.
, vol.15
, pp. 958-975
-
-
Li, K.C.1
-
21
-
-
0001349324
-
Asymptotic properties of criteria for selection of variables in multiple regression
-
NISHII, R. (1084). Asymptotic properties of criteria for selection of variables in multiple regression. Ann. Statist. 12, 758-65.
-
(1084)
Ann. Statist.
, vol.12
, pp. 758-765
-
-
Nishii, R.1
-
22
-
-
0001289292
-
p-test for the orthogonal series estimation of regression
-
p-test for the orthogonal series estimation of regression. Theory Prob. Applic. 35, 293-306.
-
(1991)
Theory Prob. Applic.
, vol.35
, pp. 293-306
-
-
Polyak, B.T.1
Tsybakov, A.B.2
-
23
-
-
1142301691
-
Comment on 'The focused information criterion' by Hjort and Claeskens
-
RAFTERY, A. E. & ZHENG, Y. (2003). Comment on 'The focused information criterion' by Hjort and Claeskens. J. Am. Statist. Assoc. 98, 931-8.
-
(2003)
J. Am. Statist. Assoc.
, vol.98
, pp. 931-938
-
-
Raftery, A.E.1
Zheng, Y.2
-
24
-
-
0018015137
-
Modeling by shortest data description
-
RISSANEN, J. (1978). Modeling by shortest data description. Automatica 14, 465-71.
-
(1978)
Automatica
, vol.14
, pp. 465-471
-
-
Rissanen, J.1
-
25
-
-
0000120766
-
Estimating the dimension of a model
-
SCHWARZ, G. (1978). Estimating the dimension of a model. Ann. Statist. 6, 461-4.
-
(1978)
Ann. Statist.
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
26
-
-
0642336882
-
An asymptotic theory for linear model selection
-
SHAO, J. (1997). An asymptotic theory for linear model selection (with Discussion). Statist. Sinica 7, 221-42.
-
(1997)
Statist. Sinica
, vol.7
, pp. 221-242
-
-
Shao, J.1
-
27
-
-
0036489055
-
Adaptive model selection
-
SHEN, X. & YE, J. (2002). Adaptive model selection. J. Am. Statist. Assoc. 97, 210-21.
-
(2002)
J. Am. Statist. Assoc.
, vol.97
, pp. 210-221
-
-
Shen, X.1
Ye, J.2
-
28
-
-
0012856304
-
Asymptotic mean efficiency of a selection of regression variables
-
SHIBATA, R. (1983). Asymptotic mean efficiency of a selection of regression variables. Ann. Inst. Statist. Math. 35, 415-23.
-
(1983)
Ann. Inst. Statist. Math.
, vol.35
, pp. 415-423
-
-
Shibata, R.1
-
29
-
-
0346208510
-
Model selection for nonparametric regression
-
YANG, Y. (1999). Model selection for nonparametric regression. Statist. Sinica 9, 475-99.
-
(1999)
Statist. Sinica
, vol.9
, pp. 475-499
-
-
Yang, Y.1
-
30
-
-
0141573227
-
Regression with multiple candidate models: Selecting or mixing?
-
YANG, Y. (2003). Regression with multiple candidate models: selecting or mixing? Statist. Sinica 13, 783-809.
-
(2003)
Statist. Sinica
, vol.13
, pp. 783-809
-
-
Yang, Y.1
-
31
-
-
0033233737
-
Information-theoretic determination of minimax rates of convergence
-
YANG, Y. & BARRON, A. R. (1999). Information-theoretic determination of minimax rates of convergence. Ann. Statist. 27, 1564-99.
-
(1999)
Ann. Statist.
, vol.27
, pp. 1564-1599
-
-
Yang, Y.1
Barron, A.R.2
|