-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
eds B. N. Petrov and F. Csáki. Budapest: Akadémiai Kiadó
-
Akaike, H. (1973) Information theory and an extension of the maximum likelihood principle. In Proc. 2nd Int. Symp. Information Theory (eds B. N. Petrov and F. Csáki), pp. 267-281. Budapest: Akadémiai Kiadó.
-
(1973)
Proc. 2nd Int. Symp. Information Theory
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
0031461895
-
Improving the precision of the daily egg production method using generalized additive models
-
Borchers, D. L., Buckland, S. T., Friede, I. G. and Ahmadi, S. (1997) Improving the precision of the daily egg production method using generalized additive models. Can. J. Fish. Aq. Sci., 54, 2727-2742.
-
(1997)
Can. J. Fish. Aq. Sci.
, vol.54
, pp. 2727-2742
-
-
Borchers, D.L.1
Buckland, S.T.2
Friede, I.G.3
Ahmadi, S.4
-
3
-
-
34250263445
-
Smoothing noisy data with spline functions
-
Craven, P. and Wahba, G. (1979) Smoothing noisy data with spline functions. Numer. Math., 31, 377-403.
-
(1979)
Numer. Math.
, vol.31
, pp. 377-403
-
-
Craven, P.1
Wahba, G.2
-
4
-
-
0003424372
-
-
Philadelphia: Society for Industrial and Applied Mathematics
-
Demmel, J. (1997) Applied Numerical Linear Algebra. Philadelphia: Society for Industrial and Applied Mathematics.
-
(1997)
Applied Numerical Linear Algebra
-
-
Demmel, J.1
-
5
-
-
0001935440
-
Splines minimizing rotation-invariant semi-norms in Solobev spaces
-
Berlin: Springer
-
Duchon, J. (1977) Splines minimizing rotation-invariant semi-norms in Solobev spaces. In Construction Theory of Functions of Several Variables. Berlin: Springer.
-
(1977)
Construction Theory of Functions of Several Variables
-
-
Duchon, J.1
-
6
-
-
25444532788
-
Flexible smoothing with B-splines and penalties
-
Eilers, P. H. C. and Marx, B. D. (1996) Flexible smoothing with B-splines and penalties. Statist. Sci., 11, 89-121.
-
(1996)
Statist. Sci.
, vol.11
, pp. 89-121
-
-
Eilers, P.H.C.1
Marx, B.D.2
-
10
-
-
0001003992
-
Minimizing GCV/GML scores with multiple smoothing parameters via the Newton method
-
Gu, C. and Wahba, G. (1991) Minimizing GCV/GML scores with multiple smoothing parameters via the Newton method. SIAM J. Sci. Statist. Comput., 12, 383-398.
-
(1991)
SIAM J. Sci. Statist. Comput.
, vol.12
, pp. 383-398
-
-
Gu, C.1
Wahba, G.2
-
11
-
-
0000279744
-
Semiparametric analysis of variance with tensor product thin plate splines
-
_ (1993) Semiparametric analysis of variance with tensor product thin plate splines. J. R. Statist. Soc. B, 55, 353-368.
-
(1993)
J. R. Statist. Soc. B
, vol.55
, pp. 353-368
-
-
-
13
-
-
0002970891
-
Smoothing noisy data with spline functions
-
Hutchinson, M. F. and de Hoog, F. R. (1985) Smoothing noisy data with spline functions. Numer. Math., 47, 99-106.
-
(1985)
Numer. Math.
, vol.47
, pp. 99-106
-
-
Hutchinson, M.F.1
De Hoog, F.R.2
-
14
-
-
0038182862
-
Discussion on 'Some aspects of the spline smoothing approach to non-parametric regression curve fitting' (by B. W. Silverman)
-
Parker, R. L. and Rice, J. A. (1985) Discussion on 'Some aspects of the spline smoothing approach to non-parametric regression curve fitting' (by B. W. Silverman). J. R. Statist. Soc. B, 47, 40-42.
-
(1985)
J. R. Statist. Soc. B
, vol.47
, pp. 40-42
-
-
Parker, R.L.1
Rice, J.A.2
-
15
-
-
0001995852
-
Some aspects of the spline smoothing approach to non-parametric regression curve fitting
-
Silverman, B. W. (1985) Some aspects of the spline smoothing approach to non-parametric regression curve fitting (with discussion). J. R. Statist. Soc. B, 47, 1-52.
-
(1985)
J. R. Statist. Soc. B
, vol.47
, pp. 1-52
-
-
Silverman, B.W.1
-
16
-
-
0002493574
-
Sparse greedy matrix approximation for machine learning
-
San Francisco: Morgan Kaufmann
-
Smola, A. J. and Schölkopf, B. (2000) Sparse greedy matrix approximation for machine learning. In Proc. 17th Int. Conf. Machine Learning. San Francisco: Morgan Kaufmann.
-
(2000)
Proc. 17th Int. Conf. Machine Learning
-
-
Smola, A.J.1
Schölkopf, B.2
-
17
-
-
0005173689
-
Spline bases, regularization, and generalized cross validation for solving approximation problems with large quantities of noisy data
-
ed. W. Cheney. New York: Academic Press
-
Wahba, G. (1980) Spline bases, regularization, and generalized cross validation for solving approximation problems with large quantities of noisy data. In Approximation Theory III (ed. W. Cheney), pp. 905-912. New York: Academic Press.
-
(1980)
Approximation Theory III
, pp. 905-912
-
-
Wahba, G.1
-
18
-
-
0000939344
-
Bayesian "confidence intervals" for the cross-validated smoothing spline
-
_ (1983) Bayesian "confidence intervals" for the cross-validated smoothing spline. J. R. Statist. Soc. B, 45, 133-150.
-
(1983)
J. R. Statist. Soc. B
, vol.45
, pp. 133-150
-
-
-
19
-
-
0003241881
-
Spline models for observational data
-
_ (1990) Spline models for observational data. CBMS-NSF Regl Conf. Ser. Appl. Math., 59.
-
(1990)
CBMS-NSF Regl Conf. Ser. Appl. Math.
, vol.59
-
-
-
20
-
-
0041865172
-
Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy
-
Wahba, G., Wang, Y., Gu, C., Klein, R. and Klein, B. (1995) Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. Ann. Statist., 23, 1865-1895.
-
(1995)
Ann. Statist.
, vol.23
, pp. 1865-1895
-
-
Wahba, G.1
Wang, Y.2
Gu, C.3
Klein, R.4
Klein, B.5
-
22
-
-
84899010839
-
Using the Nyström method to speed up kernel machines
-
eds T. K. Leen and T. G. Diettrich. Cambridge: MIT Press
-
Williams, C. K. I. and Seeger, M. (2001) Using the Nyström method to speed up kernel machines. In Advances in Neural Information Processing Systems, vol. 13 (eds T. K. Leen and T. G. Diettrich). Cambridge: MIT Press.
-
(2001)
Advances in Neural Information Processing Systems
, vol.13
-
-
Williams, C.K.I.1
Seeger, M.2
-
23
-
-
0034364945
-
Modelling and smoothing parameter estimation with multiple quadratic penalties
-
Wood, S. N. (2000) Modelling and smoothing parameter estimation with multiple quadratic penalties. J. R. Statist. Soc. B, 62, 413-428.
-
(2000)
J. R. Statist. Soc. B
, vol.62
, pp. 413-428
-
-
Wood, S.N.1
-
24
-
-
1842665179
-
Spatially adaptive regression splines and accurate knot selection schemes
-
Zhou, S. and Shen, X. (2001) Spatially adaptive regression splines and accurate knot selection schemes. J. Am. Statist. Ass., 96, 247-259.
-
(2001)
J. Am. Statist. Ass.
, vol.96
, pp. 247-259
-
-
Zhou, S.1
Shen, X.2
|