-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
B. N. Petrov & F. Csáki, eds., Akadémiai Kiadó, Budapest
-
H. Akaike (1973). Information theory and an extension of the maximum likelihood principle. In Second International Symposium on Information Theory: Tsahkadsor, Armenia, USSR, September 2-8, 1971 (B. N. Petrov & F. Csáki, eds.), Akadémiai Kiadó, Budapest, pp. 267-281.
-
(1973)
Second International Symposium on Information Theory: Tsahkadsor, Armenia, USSR, September 2-8, 1971
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
0002175798
-
What is the likelihood function?
-
S. S. Gupta & J. O. Berger, eds., Springer-Verlag, New York
-
M. J. Bayarri, M. H. DeGroot & J. B. Kadane (1988). What is the likelihood function? (with discussion). In Statistical Decision Theory and Related Topics IV (S. S. Gupta & J. O. Berger, eds.), Springer-Verlag, New York, vol. 1, pp. 3-28.
-
(1988)
Statistical Decision Theory and Related Topics IV
, vol.1
, pp. 3-28
-
-
Bayarri, M.J.1
DeGroot, M.H.2
Kadane, J.B.3
-
4
-
-
0002747177
-
The direct use of likelihood for significance testing
-
O. Barndorff-Nielsen, P. Blæsild & G. Schou, eds., Memoirs no. 1, Dept. of Theoretical Statistics, University of Aarhus, Denmark
-
A. P. Dempster (1974). The direct use of likelihood for significance testing. In Proceedings of Conference on Foundational Questions in Statistical Inference: Aarhus, May 7-12, 1973 (O. Barndorff-Nielsen, P. Blæsild & G. Schou, eds.), Memoirs no. 1, Dept. of Theoretical Statistics, University of Aarhus, Denmark, pp. 335-352.
-
(1974)
Proceedings of Conference on Foundational Questions in Statistical Inference: Aarhus, May 7-12, 1973
, pp. 335-352
-
-
Dempster, A.P.1
-
5
-
-
21944455810
-
The direct use of likelihood for significance testing
-
A. P. Dempster (1997). The direct use of likelihood for significance testing. Statistics and Computing, 7, 247-252.
-
(1997)
Statistics and Computing
, vol.7
, pp. 247-252
-
-
Dempster, A.P.1
-
7
-
-
0002799511
-
Model choice: A minimum posterior predictive loss approach
-
A. E. Gelfand & S. K. Ghosh (1998). Model choice: a minimum posterior predictive loss approach. Biometrika, 85, 1-11.
-
(1998)
Biometrika
, vol.85
, pp. 1-11
-
-
Gelfand, A.E.1
Ghosh, S.K.2
-
9
-
-
0011691958
-
Counting degrees of freedom in hierarchical and other richly-parametrized models
-
J. S. Hodges & D. J. Sargent (2001). Counting degrees of freedom in hierarchical and other richly-parametrized models. Biometrika, 88, 367-379.
-
(2001)
Biometrika
, vol.88
, pp. 367-379
-
-
Hodges, J.S.1
Sargent, D.J.2
-
14
-
-
0000120766
-
Estimating the dimension of a model
-
G. Schwarz (1978). Estimating the dimension of a model. The Annals of Statistics, 6, 461-464.
-
(1978)
The Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
16
-
-
0036435040
-
Bayesian measures of model complexity and fit
-
D. K. Spiegelhalter, N. Best, B. P. Carlin & A. van der Linde (2002). Bayesian measures of model complexity and fit (with discussion). Journal of the Royal Statistical Society Series B, 64, 583-639.
-
(2002)
Journal of the Royal Statistical Society Series B
, vol.64
, pp. 583-639
-
-
Spiegelhalter, D.K.1
Best, N.2
Carlin, B.P.3
Van der Linde, A.4
|