-
1
-
-
54349129142
-
Cross-validated estimations in the single-functional index model
-
AIT-SÄIDI, A., FERRATY, F., KASSA, R. & VIEU, P. (2008). Cross-validated estimations in the single-functional index model. Statistics 42, 475-94.
-
(2008)
Statistics
, vol.42
, pp. 475-494
-
-
Ait-Säidi, A.1
Ferraty, F.2
Kassa, R.3
Vieu, P.4
-
2
-
-
0000501656
-
Information theory as a function of the maximum likelihood principle
-
Ed. B. N. Petrov and F. Csaki, Budapest: Akademiai Kiado
-
AKAIKE, H. (1973). Information theory as a function of the maximum likelihood principle. In 2nd Int. Symp. Inform. Theory, Ed. B. N. Petrov and F. Csaki, pp. 267-81. Budapest: Akademiai Kiado.
-
(1973)
2nd Int. Symp. Inform. Theory
, pp. 267-281
-
-
Akaike, H.1
-
3
-
-
0000203752
-
Optimal minimal neural interpretation of spectra
-
BORGGAARD, C. & THODBERG, H. H. (1992). Optimal minimal neural interpretation of spectra. Analyt. Chem. 64, 545-51.
-
(1992)
Analyt. Chem.
, vol.64
, pp. 545-551
-
-
Borggaard, C.1
Thodberg, H.H.2
-
4
-
-
33745157294
-
Boosting for high-dimensional linear models
-
BÜHLMANN, P. (2006). Boosting for high-dimensional linear models. Ann. Statist. 34, 559-83.
-
(2006)
Ann. Statist.
, vol.34
, pp. 559-583
-
-
Bühlmann, P.1
-
6
-
-
0041459525
-
Spline estimators for the functional linear model
-
CARDOT, H., FERRATY, F. & SARDA, P. (2003). Spline estimators for the functional linear model. Statist. Sinica 13, 571-91.
-
(2003)
Statist. Sinica
, vol.13
, pp. 571-591
-
-
Cardot, H.1
Ferraty, F.2
Sarda, P.3
-
7
-
-
65349171811
-
Smoothing splines estimation for functional linear regression
-
CRAMBES, C., KNEIP, A. & SARDA, P. (2009). Smoothing splines estimation for functional linear regression. Ann. Statist. 37, 35-72.
-
(2009)
Ann. Statist.
, vol.37
, pp. 35-72
-
-
Crambes, C.1
Kneip, A.2
Sarda, P.3
-
8
-
-
8644286824
-
Introduction to the emerging issues in longitudinal and functional data analysis. (With discussion.)
-
DAVIDIAN, M., LIN, X. & WANG, J. L. (2004). Introduction to the emerging issues in longitudinal and functional data analysis. (With discussion.) Statist. Sinica 14, 613-29.
-
(2004)
Statist. Sinica
, vol.14
, pp. 613-629
-
-
Davidian, M.1
Lin, X.2
Wang, J.L.3
-
9
-
-
3242708140
-
Least angle regression
-
EFRON, B., HASTIE, T., JOHNSTONE, I. & TIBSHIRANI, R. (2004). Least angle regression. Ann. Statist. 32, 407-99.
-
(2004)
Ann. Statist.
, vol.32
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
11
-
-
18944399427
-
Functional samples and bootstrap for predicting sulfur dioxide levels
-
FERNÁNDEZ DE CASTRO, B., GUILLAS, S. & GONZÁLEZ MANTEIGA, W. (2005). Functional samples and bootstrap for predicting sulfur dioxide levels. Technometrics 47, 212-22.
-
(2005)
Technometrics
, vol.47
, pp. 212-222
-
-
Fernández De Castro, B.1
Guillas, S.2
Manteiga, G.W.3
-
12
-
-
70449469146
-
Special issue: Statistical methods and problems in infinite-dimensional spaces (guest editor)
-
FERRATY, F. (2010). Special issue: statistical methods and problems in infinite-dimensional spaces (Guest Editor). J. Mult. Anal. 101, 305-490.
-
(2010)
J. Mult. Anal.
, vol.101
, pp. 305-490
-
-
Ferraty, F.1
-
13
-
-
0036448834
-
The functional nonparametric model and application to spectrometric data
-
FERRATY, F. & VIEU, P. (2002). The functional nonparametric model and application to spectrometric data. Comp. Statist., 17, 545-64.
-
(2002)
Comp. Statist.
, vol.17
, pp. 545-564
-
-
Ferraty, F.1
Vieu, P.2
-
15
-
-
58549087708
-
Additive prediction and boosting for functional data
-
FERRATY, F. & VIEU, P. (2009). Additive prediction and boosting for functional data. Comput. Statist. Data Anal. 53, 1400-13.
-
(2009)
Comput. Statist. Data Anal.
, vol.53
, pp. 1400-1413
-
-
Ferraty, F.1
Vieu, P.2
-
16
-
-
84952149204
-
A statistical view of some chemometrics regression tools (with discussions)
-
FRANK, I. E. & FRIEDMAN, J. H. (1993). A statistical view of some chemometrics regression tools (with discussions). Technometrics 35, 109-48.
-
(1993)
Technometrics
, vol.35
, pp. 109-148
-
-
Frank, I.E.1
Friedman, J.H.2
-
17
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
FRIEDMAN, J., HASTIE, T. & TIBSHIRANI, R. (2000). Additive logistic regression: a statistical view of boosting. Ann. Statist. 38, 337-74.
-
(2000)
Ann. Statist.
, vol.38
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
18
-
-
34247380333
-
Introduction to the special issue on statistics for functional data
-
GONZÁLEZ MANTEIGA, W. & VIEU, P. (2007). Introduction to the special issue on statistics for functional data. Comp. Statist. Data Anal. 51, 4788-92.
-
(2007)
Comp. Statist. Data Anal.
, vol.51
, pp. 4788-4792
-
-
González Manteiga, W.1
Vieu, P.2
-
19
-
-
0000155686
-
Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation
-
HALL, P. & MARRON, J. S. (1987). Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation. Probab. Theory Rel. Fields 74, 567-81.
-
(1987)
Probab. Theory Rel. Fields
, vol.74
, pp. 567-581
-
-
Hall, P.1
Marron, J.S.2
-
20
-
-
68849084522
-
Using generalized correlation to effect variable selection in very high dimensional problems
-
HALL, P. & MILLER, H. (2009). Using generalized correlation to effect variable selection in very high dimensional problems. J. Comp. Graph. Statist. 18, 533-50.
-
(2009)
J. Comp. Graph. Statist.
, vol.18
, pp. 533-550
-
-
Hall, P.1
Miller, H.2
-
21
-
-
84909719647
-
How far are automatically chosen regression smoothing parameters from their optimum? (With discussion.)
-
HÄRDLE, W., HALL, P. & MARRON, J. S. (1988). How far are automatically chosen regression smoothing parameters from their optimum? (With discussion.) J. Am. Statist. Assoc. 83, 86-101.
-
(1988)
J. Am. Statist. Assoc.
, vol.83
, pp. 86-101
-
-
Härdle, W.1
Hall, P.2
Marron, J.S.3
-
24
-
-
8744253858
-
-
Lecture Notes. Monograph Series. Beachwood, OH: Institute of Mathematical Statistics
-
LAHIRI, P. (2001). Model Selection. Lecture Notes. Monograph Series. Beachwood, OH: Institute of Mathematical Statistics.
-
(2001)
Model Selection
-
-
Lahiri, P.1
-
25
-
-
30344444303
-
Classification using functional data analysis for temporal gene expression data
-
LENG, X. & MÜLLER, H.-G. (2006). Classification using functional data analysis for temporal gene expression data. Bioinformatics 22, 68-76.
-
(2006)
Bioinformatics
, vol.22
, pp. 68-76
-
-
Leng, X.1
Müller, H.-G.2
-
26
-
-
3142739397
-
Cross-validated local linear nonparametric regression
-
LI, Q. & RACINE, J. (2004). Cross-validated local linear nonparametric regression. Statist. Sinica 14, 485-512.
-
(2004)
Statist. Sinica
, vol.14
, pp. 485-512
-
-
Li, Q.1
Racine, J.2
-
28
-
-
0000957593
-
Principal components regression in exploratory statistical research
-
MASSY, W. F. (1965). Principal components regression in exploratory statistical research. J. Am. Statist. Assoc. 60, 234-46.
-
(1965)
J. Am. Statist. Assoc.
, vol.60
, pp. 234-246
-
-
Massy, W.F.1
-
32
-
-
0000006440
-
Bandwidth choice for nonparametric regression
-
RICE, J. (1984). Bandwidth choice for nonparametric regression. Ann. Statist. 12, 1215-30.
-
(1984)
Ann. Statist.
, vol.12
, pp. 1215-1230
-
-
Rice, J.1
-
33
-
-
21844518517
-
Multivariate locally weighted least squares regression
-
RUPPERT, D. & WAND, M. P. (1994). Multivariate locally weighted least squares regression. Ann. Statist. 22, 1346-70.
-
(1994)
Ann. Statist.
, vol.22
, pp. 1346-1370
-
-
Ruppert, D.1
Wand, M.P.2
-
34
-
-
0000120766
-
Estimating the dimension of a model
-
SCHWARTZ, G. (1978). Estimating the dimension of a model. Ann. Statist. 6, 461-4.
-
(1978)
Ann. Statist.
, vol.6
, pp. 461-464
-
-
Schwartz, G.1
-
35
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
TIBSHIRANI, R. (1996). Regression shrinkage and selection via the lasso. J. R. Statist. Soc. B 58, 267-88.
-
(1996)
J. R. Statist. Soc. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
36
-
-
36048956916
-
Introduction to the special issue on modelling functional data in practice
-
VALDERRAMA, M. (2007). Introduction to the special issue on modelling functional data in practice. Comp. Statist. 22, 331-4.
-
(2007)
Comp. Statist.
, vol.22
, pp. 331-334
-
-
Valderrama, M.1
-
37
-
-
0001274952
-
Quantitative analysis of individual sugars and acids in orange juices by near-infrared spectroscopy of dry extract
-
WEIJIE, L., GOOVAERTS, P. & MEURENS, M. (1996). Quantitative analysis of individual sugars and acids in orange juices by near-infrared spectroscopy of dry extract. J. Agric. Food. Chem. 44, 2252-9.
-
(1996)
J. Agric. Food. Chem.
, vol.44
, pp. 2252-2259
-
-
Weijie, L.1
Goovaerts, P.2
Meurens, M.3
-
38
-
-
0002692783
-
Soft modelling by latent variables; the nonlinear iterative partial least squares approach
-
Ed. J. Gani. London: Academic Press
-
WOLD, H. (1975). Soft modelling by latent variables; the nonlinear iterative partial least squares approach. In Perspectives in Probability and Statistics, Papers in Honour of M. S. Bartlett, Ed. J. Gani. London: Academic Press.
-
(1975)
Perspectives in Probability and Statistics, Papers in Honour of M. S. Bartlett
-
-
Wold, H.1
|