-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
Ed. B. N. Petrov and F. Csaki, Budapest: Akademiai Kiado
-
AKAIKE, H. (1973). Information theory and an extension of the maximum likelihood principle. In 2nd Int. Symp. on Information Theory, Ed. B. N. Petrov and F. Csaki, pp. 267-81. Budapest: Akademiai Kiado.
-
(1973)
2nd Int. Symp. on Information Theory
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
24944557730
-
Estimating nonlinear regression models based on radial basis function networks
-
ANDO, T., IMOTO, S. & KONISHI, S. (2001). Estimating nonlinear regression models based on radial basis function networks (in Japanese). Jap. J. Appl. Statist. 30, 19-35.
-
(2001)
Jap. J. Appl. Statist.
, vol.30
, pp. 19-35
-
-
Ando, T.1
Imoto, S.2
Konishi, S.3
-
3
-
-
0000211514
-
Robust full Bayesian learning for radial basis networks
-
ANDRIEU, C., DE FREITAS, N. & DOUCET, A. (2001). Robust full Bayesian learning for radial basis networks. Neural Comp. 13, 2359-407.
-
(2001)
Neural Comp.
, vol.13
, pp. 2359-2407
-
-
Andrieu, C.1
De Freitas, N.2
Doucet, A.3
-
5
-
-
0000621802
-
Multivariable functional interpolation and adaptive networks
-
BROOMHEAD, D. S. & LOWE, D. (1988). Multivariable functional interpolation and adaptive networks. Complex Syst. 2, 321-35.
-
(1988)
Complex Syst.
, vol.2
, pp. 321-335
-
-
Broomhead, D.S.1
Lowe, D.2
-
6
-
-
0002138061
-
Jeffreys' proir is asymptotically least favorable under entropy risk
-
CLARKE, B. S. & BARRON, A. R. (1994). Jeffreys' proir is asymptotically least favorable under entropy risk. J. Statist. Plan. Infer. 41, 37-60.
-
(1994)
J. Statist. Plan. Infer.
, vol.41
, pp. 37-60
-
-
Clarke, B.S.1
Barron, A.R.2
-
7
-
-
0002211373
-
Approximate predictive likelihood
-
DAVISON, A. C. (1986). Approximate predictive likelihood. Biometrika 73, 323-32.
-
(1986)
Biometrika
, vol.73
, pp. 323-332
-
-
Davison, A.C.1
-
8
-
-
80053264999
-
How biased is the apparent error rate of a prediction rule?
-
EFRON, B. (1986). How biased is the apparent error rate of a prediction rule? J. Am. Statist. Assoc. 81, 461-70.
-
(1986)
J. Am. Statist. Assoc.
, vol.81
, pp. 461-470
-
-
Efron, B.1
-
9
-
-
0000451036
-
Nonparametric roughness penalites for probability densities
-
GOOD, I. J. & GASKINS, R. A. (1971). Nonparametric roughness penalites for probability densities. Biometrika 58, 255-77.
-
(1971)
Biometrika
, vol.58
, pp. 255-277
-
-
Good, I.J.1
Gaskins, R.A.2
-
11
-
-
0002117007
-
Semi-parametric generalized linear models
-
Ed. R. Gilchrist, B. J. Francis and J. Whittaker, Lecture Notes in Statistics, Berlin: Springer
-
GREEN, P. J. & YANDELL, B. (1985). Semi-parametric generalized linear models. In Generalized Linear Models, Ed. R. Gilchrist, B. J. Francis and J. Whittaker, Lecture Notes in Statistics, 32, pp. 44-55. Berlin: Springer.
-
(1985)
Generalized Linear Models
, vol.32
, pp. 44-55
-
-
Green, P.J.1
Yandell, B.2
-
13
-
-
0000840529
-
Bayesian radial basis functions of variable dimension
-
HOLMES, C. C. & MALLICK, B. K. (1998). Bayesian radial basis functions of variable dimension. Neural Comp. 10, 1217-33.
-
(1998)
Neural Comp.
, vol.10
, pp. 1217-1233
-
-
Holmes, C.C.1
Mallick, B.K.2
-
14
-
-
70349119250
-
Regression and time series model selection in small samples
-
HURVICH, C. M. & TSAI, C.-L. (1989). Regression and time series model selection in small samples. Biometrika 76, 297-307.
-
(1989)
Biometrika
, vol.76
, pp. 297-307
-
-
Hurvich, C.M.1
Tsai, C.-L.2
-
15
-
-
0001354983
-
Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion
-
HURVICH, C. M., SIMONOFF, J. S. & TSAI, C.-L. (1998). Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. J. R. Statist. Soc. B 60, 271-93.
-
(1998)
J. R. Statist. Soc. B
, vol.60
, pp. 271-293
-
-
Hurvich, C.M.1
Simonoff, J.S.2
Tsai, C.-L.3
-
17
-
-
27944462549
-
A reference Bayesian test for nested hypotheses and its relationship to the Schwarz criterion
-
KASS, R. E. & WASSERMAN, L. (1995). A reference Bayesian test for nested hypotheses and its relationship to the Schwarz criterion. J. Am. Statist. Assoc. 90, 928-34.
-
(1995)
J. Am. Statist. Assoc.
, vol.90
, pp. 928-934
-
-
Kass, R.E.1
Wasserman, L.2
-
18
-
-
0003100767
-
The validity of posterior expansions based on Laplace's method
-
Ed. S. Geisser, J. S. Hodges, S. J. Press and A. Zellner, Amsterdam: North-Holland
-
KASS, R. E., TIERNEY, L. & KADANE, J. B. (1990). The validity of posterior expansions based on Laplace's method. In Essays in Honor of George Barnard, Ed. S. Geisser, J. S. Hodges, S. J. Press and A. Zellner, pp. 473-88. Amsterdam: North-Holland.
-
(1990)
Essays in Honor of George Barnard
, pp. 473-488
-
-
Kass, R.E.1
Tierney, L.2
Kadane, J.B.3
-
19
-
-
0012595161
-
Statistical model evaluation and information criteria
-
Ed. S. Ghosh, New York: Marcel Dekker
-
KONISHI, S. (1999). Statistical model evaluation and information criteria. In Multivariate Analysis, Design of Experiments and Surrey Sampling, Ed. S. Ghosh, pp. 369-99. New York: Marcel Dekker.
-
(1999)
Multivariate Analysis, Design of Experiments and Surrey Sampling
, pp. 369-399
-
-
Konishi, S.1
-
20
-
-
0000512689
-
Generalised information criteria in model selection
-
KONISHI, S. & KITAGAWA, G. (1996). Generalised information criteria in model selection. Biometrika 83, 875-90.
-
(1996)
Biometrika
, vol.83
, pp. 875-890
-
-
Konishi, S.1
Kitagawa, G.2
-
22
-
-
0035413539
-
Schwarz, Wallace, and Rissanen: Intertwining themes in theories of model selection
-
LANTERMAN, A. D. (2001). Schwarz, Wallace, and Rissanen: Intertwining themes in theories of model selection. Int. Statist. Rev. 69, 185-212.
-
(2001)
Int. Statist. Rev.
, vol.69
, pp. 185-212
-
-
Lanterman, A.D.1
-
23
-
-
0002704818
-
A practical Bayesian framework for backpropagation networks
-
MACKAY, D. J. C. (1992). A practical Bayesian framework for backpropagation networks. Neural Comp. 4, 448-72.
-
(1992)
Neural Comp.
, vol.4
, pp. 448-472
-
-
Mackay, D.J.C.1
-
25
-
-
0000902690
-
The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems
-
Ed. J. E. Moody, S. J. Hanson and R. P. Lippmann, San Mateo, CA: Morgan Kaufmann
-
MOODY, J. (1992). The effective number of parameters: an analysis of generalization and regularization in nonlinear learning systems. In Advances in Neural Information Processing Systems 4, Ed. J. E. Moody, S. J. Hanson and R. P. Lippmann, pp. 847-54. San Mateo, CA: Morgan Kaufmann.
-
(1992)
Advances in Neural Information Processing Systems
, vol.4
, pp. 847-854
-
-
Moody, J.1
-
26
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
MOODY, J. & DARKEN, C. J. (1989). Fast learning in networks of locally-tuned processing units. Neural Comp. 1, 281-94.
-
(1989)
Neural Comp.
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
27
-
-
0028544395
-
Network information criterion-determining the number of hidden units for an artificial neural network model
-
MURATA, N., YOSHIZAWA, S. & AMARI, S. (1994). Network information criterion-determining the number of hidden units for an artificial neural network model. IEEE Trans. Neural Networks 5, 865-72.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 865-872
-
-
Murata, N.1
Yoshizawa, S.2
Amari, S.3
-
28
-
-
0003611509
-
-
Lecture Notes in Statistics 118. New York: Springer-Verlag
-
NEAL, R. M. (1996). Bayesian Learning for Neural Networks, Lecture Notes in Statistics 118. New York: Springer-Verlag.
-
(1996)
Bayesian Learning for Neural Networks
-
-
Neal, R.M.1
-
29
-
-
0031084370
-
Regression and time series model selection using variants of the Schwarz information criterion
-
NEATH, A. A. & CAVANAUGH, J. E. (1997). Regression and time series model selection using variants of the Schwarz information criterion. Commun. Statist. A 26, 559-80.
-
(1997)
Commun. Statist. A
, vol.26
, pp. 559-580
-
-
Neath, A.A.1
Cavanaugh, J.E.2
-
31
-
-
0001857092
-
Fractional Bayes factors for model comparison
-
O'HAGAN, A. (1995). Fractional Bayes factors for model comparison (with Discussion). J. R. Statist. Soc. B 57, 99-138.
-
(1995)
J. R. Statist. Soc. B
, vol.57
, pp. 99-138
-
-
O'Hagan, A.1
-
32
-
-
0001781878
-
Automatic smoothing of regression functions in generalized linear models
-
O'SULLIVAN, F., YANDELL, B. S. & RAYNOR, W. J. (1986). Automatic smoothing of regression functions in generalized linear models. J. Am. Statist. Assoc. 81, 96-103.
-
(1986)
J. Am. Statist. Assoc.
, vol.81
, pp. 96-103
-
-
O'Sullivan, F.1
Yandell, B.S.2
Raynor, W.J.3
-
33
-
-
0002648792
-
The Schwarz criterion and related methods for normal linear models
-
PAULER, D. (1998). The Schwarz criterion and related methods for normal linear models. Biometrika 85, 13-27.
-
(1998)
Biometrika
, vol.85
, pp. 13-27
-
-
Pauler, D.1
-
34
-
-
0025490985
-
Networks for approximation and learning
-
POGGIO, T. & GIROSI, F. (1990). Networks for approximation and learning. Proc. IEEE 78, 1484-7.
-
(1990)
Proc. IEEE
, vol.78
, pp. 1484-1487
-
-
Poggio, T.1
Girosi, F.2
-
35
-
-
0001224911
-
Feedforward neural networks for nonparametric regression
-
Ed. D. K. Dey, P. Müller and D. Sinha, New York: Springer Verlag
-
RIOS INSUA, D. & MÜLLER, P. (1998). Feedforward neural networks for nonparametric regression. In Practical Nonparametric and Semiparametric Bayesian Statistics, Ed. D. K. Dey, P. Müller and D. Sinha, pp. 181-91. New York: Springer Verlag.
-
(1998)
Practical Nonparametric and Semiparametric Bayesian Statistics
, pp. 181-191
-
-
Rios Insua, D.1
Müller, P.2
-
37
-
-
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
-
38
-
-
0001995852
-
Some aspects of the spline smoothing approach to nonparametric regression curve fitting
-
SILVERMAN, B. W. (1985). Some aspects of the spline smoothing approach to nonparametric 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
-
39
-
-
0036435040
-
Bayesian measures of model complexity and fit
-
SPIEGELHALTER, D. J., BEST, N. G., CARLIN, B. P. & VAN DER LINDE, A. (2002). Bayesian measures of model complexity and fit (with Discussion). J. R. Statist. Soc. E 64, 583-639.
-
(2002)
J. R. Statist. Soc. E
, vol.64
, pp. 583-639
-
-
Spiegelhalter, D.J.1
Best, N.G.2
Carlin, B.P.3
Van Der Linde, A.4
-
40
-
-
84963178774
-
Further analysis of the data by Akaike's information criterion and the finite corrections
-
SUGIURA, N. (1978). Further analysis of the data by Akaike's information criterion and the finite corrections. Commun. Statist. A 7, 13-26.
-
(1978)
Commun. Statist. A
, vol.7
, pp. 13-26
-
-
Sugiura, N.1
-
41
-
-
0001930912
-
Distributions of information statistics and criteria for adequacy of models
-
TAKEUCHI, K. (1976). Distributions of information statistics and criteria for adequacy of models (in Japanese). Math. Sci. 153, 12-8.
-
(1976)
Math. Sci.
, vol.153
, pp. 12-18
-
-
Takeuchi, K.1
-
42
-
-
1942510832
-
Estimation of curve and surface by Bayesian model
-
TANABE, K. & TANAKA, T. (1983). Estimation of curve and surface by Bayesian model (in Japanese). Chikyu 5, 179-86.
-
(1983)
Chikyu
, vol.5
, pp. 179-186
-
-
Tanabe, K.1
Tanaka, T.2
-
43
-
-
84950871099
-
Accurate approximations for posterior moments and marginal densities
-
TIERNEY, L. & KADANE, J. B. (1986). Accurate approximations for posterior moments and marginal densities. J. Am. Statist. Assoc. 81, 82-6.
-
(1986)
J. Am. Statist. Assoc.
, vol.81
, pp. 82-86
-
-
Tierney, L.1
Kadane, J.B.2
-
44
-
-
0001560641
-
Fully exponential Laplace approximations to expectations and variances of nonpositive functions
-
TIERNEY, L., KASS, R. E. & KADANE, J. B. (1989). Fully exponential Laplace approximations to expectations and variances of nonpositive functions. J. Am. Statist. Assoc. 84, 710-6.
-
(1989)
J. Am. Statist. Assoc.
, vol.84
, pp. 710-716
-
-
Tierney, L.1
Kass, R.E.2
Kadane, J.B.3
-
45
-
-
0003466536
-
-
Philadelphia: Society for Industrial and Applied Mathematics
-
WAHBA, G. (1990). Spline Models for Observational Data. Philadelphia: Society for Industrial and Applied Mathematics.
-
(1990)
Spline Models for Observational Data
-
-
Wahba, G.1
-
47
-
-
84975992278
-
On a new method of graduation
-
WHITTAKER, E. (1923). On a new method of graduation. Proc. Edin. Math. Soc. 41, 63-75.
-
(1923)
Proc. Edin. Math. Soc.
, vol.41
, pp. 63-75
-
-
Whittaker, E.1
|