-
1
-
-
49049090541
-
Nonlinear regression modeling via regularized radial basis function networks
-
Ando T., Konishi S., and Imoto S. Nonlinear regression modeling via regularized radial basis function networks. J. Stat. Planning Inference 138 (2008) 3616-3633
-
(2008)
J. Stat. Planning Inference
, vol.138
, pp. 3616-3633
-
-
Ando, T.1
Konishi, S.2
Imoto, S.3
-
4
-
-
34548275795
-
The Dantzig selector: statistical estimation when p is much larger than n (with discussion)
-
Candes E., and Tao T. The Dantzig selector: statistical estimation when p is much larger than n (with discussion). Ann. Statist. 35 (2007) 2313-2351
-
(2007)
Ann. Statist.
, vol.35
, pp. 2313-2351
-
-
Candes, E.1
Tao, T.2
-
6
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
Fan J., and Li R. Variable selection via nonconcave penalized likelihood and its oracle properties. J. Amer. Statist. Assoc. 96 (2001) 1348-1360
-
(2001)
J. Amer. Statist. Assoc.
, vol.96
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
7
-
-
84952149204
-
A statistical view of some chemometrics regression tools
-
Frank I.E., and Friedman J.H. A statistical view of some chemometrics regression tools. Technometrics 35 (1993) 109-148
-
(1993)
Technometrics
, vol.35
, pp. 109-148
-
-
Frank, I.E.1
Friedman, J.H.2
-
8
-
-
0032361278
-
Penalized regression: the bridge versus the lasso
-
Fu W.J. Penalized regression: the bridge versus the lasso. J. Comput. Graph. Statist. 7 (1998) 397-416
-
(1998)
J. Comput. Graph. Statist.
, vol.7
, pp. 397-416
-
-
Fu, W.J.1
-
9
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
Geman S., and Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pat. Anal. Mach. Intel. 6 (1984) 721-741
-
(1984)
IEEE Trans. Pat. Anal. Mach. Intel.
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
11
-
-
84942484786
-
Ridge regression: biased estimation for nonorthogonal problems
-
Hoerl A.E., and Kennard R.W. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12 (1970) 55-67
-
(1970)
Technometrics
, vol.12
, pp. 55-67
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
12
-
-
3242876379
-
Selection of smoothing parameter in B-spline non-parametric regression models using information criteria
-
Imoto S., and Konishi S. Selection of smoothing parameter in B-spline non-parametric regression models using information criteria. Ann. Inst. Statist. Math. 55 (2003) 671-687
-
(2003)
Ann. Inst. Statist. Math.
, vol.55
, pp. 671-687
-
-
Imoto, S.1
Konishi, S.2
-
13
-
-
3242882795
-
Bayesian information criteria and smoothing parameter selection in radial basis function network
-
Konishi S., Ando T., and Imoto S. Bayesian information criteria and smoothing parameter selection in radial basis function network. Biometrika 91 (2004) 27-43
-
(2004)
Biometrika
, vol.91
, pp. 27-43
-
-
Konishi, S.1
Ando, T.2
Imoto, S.3
-
14
-
-
0000512689
-
Generalised information criteria in model selection
-
Konishi S., and Kitagawa G. Generalised information criteria in model selection. Biometrika 83 (1996) 875-890
-
(1996)
Biometrika
, vol.83
, pp. 875-890
-
-
Konishi, S.1
Kitagawa, G.2
-
16
-
-
0000672424
-
Fast learning in networks of locally-turned processing units
-
Moody J., and Darken C.J. Fast learning in networks of locally-turned processing units. Neural Computation 1 (1989) 281-294
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
18
-
-
46749151407
-
Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data
-
Shimamura T., Imoto S., Yamaguchi R., and Miyano S. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data. Genome Informatics 19 (2007) 142-153
-
(2007)
Genome Informatics
, vol.19
, pp. 142-153
-
-
Shimamura, T.1
Imoto, S.2
Yamaguchi, R.3
Miyano, S.4
-
20
-
-
0001287271
-
Regression shrinkage and selection via the Lasso
-
Tibshirani R.J. Regression shrinkage and selection via the Lasso. J. Roy. Statist. Soc. Ser. B 58 (1996) 267-288
-
(1996)
J. Roy. Statist. Soc. Ser. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.J.1
-
21
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
Zou H. The adaptive lasso and its oracle properties. J. Amer. Statist. Assoc. 101 (2006) 1418-1429
-
(2006)
J. Amer. Statist. Assoc.
, vol.101
, pp. 1418-1429
-
-
Zou, H.1
-
22
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
Zou H., and Hastie T. Regularization and variable selection via the elastic net. J. Roy. Statist. Soc. Ser. B 67 (2005) 301-320
-
(2005)
J. Roy. Statist. Soc. Ser. B
, vol.67
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|