-
1
-
-
0016355478
-
A new look at the statistical model identification
-
Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control 19 (1974) 716-723
-
(1974)
IEEE Transactions on Automatic Control
, vol.19
, pp. 716-723
-
-
Akaike, H.1
-
2
-
-
61849086424
-
Twin boosting: Improved feature selection and prediction
-
Bühlmann P. Twin boosting: Improved feature selection and prediction. The Annals of Statistics 34 (2007) 559-583
-
(2007)
The Annals of Statistics
, vol.34
, pp. 559-583
-
-
Bühlmann, P.1
-
3
-
-
41549141939
-
Boosting algorithms: Regularization, prediction and model fitting (with discussion)
-
Bühlmann P., and Hothorn T. Boosting algorithms: Regularization, prediction and model fitting (with discussion). Statistical Science 22 (2007) 477-505
-
(2007)
Statistical Science
, vol.22
, pp. 477-505
-
-
Bühlmann, P.1
Hothorn, T.2
-
8
-
-
25444532788
-
Flexible smoothing with b-splines and penalties
-
Eilers P.H.C., and Marx B.D. Flexible smoothing with b-splines and penalties. Statistical Science 11 (1996) 89-121
-
(1996)
Statistical Science
, vol.11
, pp. 89-121
-
-
Eilers, P.H.C.1
Marx, B.D.2
-
11
-
-
0002432565
-
Multivariate adaptive regression splines
-
Friedman J. Multivariate adaptive regression splines. The Annals of Statistics 19 (1991) 1-67
-
(1991)
The Annals of Statistics
, vol.19
, pp. 1-67
-
-
Friedman, J.1
-
13
-
-
27644433185
-
Computing all possible subset models derived from a var process
-
Gatu C., and Kontoghiorghes E.J. Computing all possible subset models derived from a var process. Computational Management Science 4 (2005) 253-278
-
(2005)
Computational Management Science
, vol.4
, pp. 253-278
-
-
Gatu, C.1
Kontoghiorghes, E.J.2
-
15
-
-
0010193890
-
Flexible parsimonious smoothing and additive modeling: Discussion
-
Hastie T. Flexible parsimonious smoothing and additive modeling: Discussion. Technometrics 31 (1989) 23-29
-
(1989)
Technometrics
, vol.31
, pp. 23-29
-
-
Hastie, T.1
-
17
-
-
34548210088
-
Efficient algorithms for computing the best subset regression models for large-scale problems
-
Hofmann M., Gatu C., and Kontoghiorghes E.J. Efficient algorithms for computing the best subset regression models for large-scale problems. Computational Statistcs and Data Analysis 52 (2007) 16-29
-
(2007)
Computational Statistcs and Data Analysis
, vol.52
, pp. 16-29
-
-
Hofmann, M.1
Gatu, C.2
Kontoghiorghes, E.J.3
-
18
-
-
10444247376
-
Functional-coefficient regression models for non-linear time series: A polynomial spline approach
-
Huang J.Z., and Shen H. Functional-coefficient regression models for non-linear time series: A polynomial spline approach. Scandinavian Journal of Statistics 31 (2004) 515-534
-
(2004)
Scandinavian Journal of Statistics
, vol.31
, pp. 515-534
-
-
Huang, J.Z.1
Shen, H.2
-
19
-
-
2442610634
-
Identification of non-linear additive autoregressive models
-
Huang J.Z., and Yang L. Identification of non-linear additive autoregressive models. Journal of the Royal Statistical Society 66 (2004) 463-477
-
(2004)
Journal of the Royal Statistical Society
, vol.66
, pp. 463-477
-
-
Huang, J.Z.1
Yang, L.2
-
20
-
-
70349119250
-
Regression and time series model selection in small samples
-
Hurvich C.M., and Tsai C.-L. Regression and time series model selection in small samples. Biometrika 76 (1989) 297-307
-
(1989)
Biometrika
, vol.76
, pp. 297-307
-
-
Hurvich, C.M.1
Tsai, C.-L.2
-
21
-
-
78649633935
-
Nonlinear modeling of time series using multivariate adaptive regression splines (mars)
-
Lewis P., and Stevens J. Nonlinear modeling of time series using multivariate adaptive regression splines (mars). Journal of the American Statistical Association 86 (1991) 864-877
-
(1991)
Journal of the American Statistical Association
, vol.86
, pp. 864-877
-
-
Lewis, P.1
Stevens, J.2
-
22
-
-
33746152094
-
Boosting for high-multivariate responses in high-dimensional linear regression
-
Lutz R.W., and Bühlmann P. Boosting for high-multivariate responses in high-dimensional linear regression. Statistica Sinica 16 (2006) 471-494
-
(2006)
Statistica Sinica
, vol.16
, pp. 471-494
-
-
Lutz, R.W.1
Bühlmann, P.2
-
23
-
-
5344244656
-
-
R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria
-
R Development Core Team, 2008. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
-
(2008)
R: A language and environment for statistical computing
-
-
-
24
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G. Estimating the dimension of a model. The Annals of Statistics 6 (1978) 461-464
-
(1978)
The Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
28
-
-
33845509035
-
Generalized additive modeling with implicit variable selection by likelihood-based boosting
-
Tutz G., and Binder H. Generalized additive modeling with implicit variable selection by likelihood-based boosting. Biometrics 62 (2006) 961-971
-
(2006)
Biometrics
, vol.62
, pp. 961-971
-
-
Tutz, G.1
Binder, H.2
-
29
-
-
0033400682
-
Macro-economic relativity: Government spending, private investment and unemployment in the USA 1948-1998
-
Young P., and Pedregal D. Macro-economic relativity: Government spending, private investment and unemployment in the USA 1948-1998. Journal of Structural Change and Economic Dynamics 10 (1999) 359-380
-
(1999)
Journal of Structural Change and Economic Dynamics
, vol.10
, pp. 359-380
-
-
Young, P.1
Pedregal, D.2
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