-
1
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
Akademiai Kiado Budapest
-
AKAIKE, H., 1973: Information theory and an extension of the maximum likelihood principle. Proc. 2nd Internat. Symp. on Information Theory (Akademiai Kiado Budapest) 267-281.
-
(1973)
Proc. 2nd Internat. Symp. on Information Theory
, pp. 267-281
-
-
Akaike, H.1
-
2
-
-
0000103562
-
Spatial statistics and Bayesian computation
-
BESAG, J. and GREEN, P. J., 1993: Spatial statistics and Bayesian computation. J. R. Statist. Soc. B 55, 25-37.
-
(1993)
J. R. Statist. Soc. B
, vol.55
, pp. 25-37
-
-
Besag, J.1
Green, P.J.2
-
3
-
-
0027048851
-
Random effects models with non-parametric priors
-
BUTLER, S. M. and LOUIS, T. A., 1992: Random effects models with non-parametric priors. Statist. Med. 11, 1981-2000.
-
(1992)
Statist. Med.
, vol.11
, pp. 1981-2000
-
-
Butler, S.M.1
Louis, T.A.2
-
4
-
-
0001244941
-
Estimation of finite mixture distributions through Bayesian sampling
-
DIEBOLT, J. and ROBERT, C. P., 1994: Estimation of finite mixture distributions through Bayesian sampling. J. R. Statist. Soc. B 56, 363-375.
-
(1994)
J. R. Statist. Soc. B
, vol.56
, pp. 363-375
-
-
Diebolt, J.1
Robert, C.P.2
-
5
-
-
0001120413
-
A Bayesian analysis of some nonparametric problems
-
FERGUSON, T. S., 1973: A Bayesian analysis of some nonparametric problems. Ann. Statist. 1, 209-230.
-
(1973)
Ann. Statist.
, vol.1
, pp. 209-230
-
-
Ferguson, T.S.1
-
6
-
-
0000539315
-
Bayesian model choice: Asymototic and exact calculations
-
GELFAND, A. E. and DEY, D. K., 1994: Bayesian model choice: asymototic and exact calculations. J. R. Statist. Soc. B 56, 501-514.
-
(1994)
J. R. Statist. Soc. B
, vol.56
, pp. 501-514
-
-
Gelfand, A.E.1
Dey, D.K.2
-
7
-
-
84950453304
-
Sampling-based approaches to calculating marginal densities
-
GELFAND, A. E. and SMITH, A. F. M., 1990: Sampling-based approaches to calculating marginal densities. J. Am. Statist. Assoc. 85, 398-409.
-
(1990)
J. Am. Statist. Assoc.
, vol.85
, pp. 398-409
-
-
Gelfand, A.E.1
Smith, A.F.M.2
-
8
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
GELMAN, A. and RUBIN, D. B., 1992: Inference from iterative simulation using multiple sequences. Statist. Sci. 7, 457-472.
-
(1992)
Statist. Sci.
, vol.7
, pp. 457-472
-
-
Gelman, A.1
Rubin, D.B.2
-
9
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
GEMAN, S. and GEMAN, D., 1984: Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattn. Anal. Mach. Intell. 6, 721-741.
-
(1984)
IEEE Trans. Pattn. Anal. Mach. Intell.
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
10
-
-
0001422224
-
Derivative-free adaptive rejection sampling for Gibbs sampling
-
BERNARDO, J. M., BERGER, J., DAWID, A. P., and SMITH, A. F. M. (eds.), Oxford University Press, Oxford
-
GILKS, W. R., 1992: Derivative-free adaptive rejection sampling for Gibbs sampling. In: BERNARDO, J. M., BERGER, J., DAWID, A. P., and SMITH, A. F. M. (eds.), Bayesian Statistics 4. Oxford University Press, Oxford, 641-649.
-
(1992)
Bayesian Statistics
, vol.4
, pp. 641-649
-
-
Gilks, W.R.1
-
11
-
-
0000324169
-
Adaptive rejection sampling for Gibbs sampling
-
GILKS, W. R. and WILD, P., 1992: Adaptive rejection sampling for Gibbs sampling. Appl. Statist. 41, 337-348.
-
(1992)
Appl. Statist.
, vol.41
, pp. 337-348
-
-
Gilks, W.R.1
Wild, P.2
-
12
-
-
0038312668
-
Adaptive rejection Metropolis sampling within Gibbs sampling
-
GILKS, W. R., BEST, N. G. and TAN, K. K. C., 1995: Adaptive rejection Metropolis sampling within Gibbs sampling. Appl. Statist. 44, 445-472.
-
(1995)
Appl. Statist.
, vol.44
, pp. 445-472
-
-
Gilks, W.R.1
Best, N.G.2
Tan, K.K.C.3
-
13
-
-
0027292412
-
Random-effects models for longitudinal data using Gibbs sampling
-
GILKS, W. R., WANG, C. C., YVONNET, B. and COURSAGET, P., 1993: Random-effects models for longitudinal data using Gibbs sampling. Biometrics 49, 441-453.
-
(1993)
Biometrics
, vol.49
, pp. 441-453
-
-
Gilks, W.R.1
Wang, C.C.2
Yvonnet, B.3
Coursaget, P.4
-
14
-
-
0001300935
-
Pseudo maximum likelihood methods: Theory
-
GOURIEROUX, C., MONFORT, A. and TROGNON, A., 1984: Pseudo maximum likelihood methods: theory. Econometric 52, 681-700.
-
(1984)
Econometric
, vol.52
, pp. 681-700
-
-
Gourieroux, C.1
Monfort, A.2
Trognon, A.3
-
15
-
-
77956890234
-
Monte Carlo sampling methods using Markov Chain and their applications
-
HASTINGS, W. K., 1970: Monte Carlo sampling methods using Markov Chain and their applications. Biometrika 57, 97-109.
-
(1970)
Biometrika
, vol.57
, pp. 97-109
-
-
Hastings, W.K.1
-
16
-
-
0020333131
-
Random effects models for longitudinal data
-
LAIRD, N. M. and WARE, J. H., 1982: Random effects models for longitudinal data. Biometrics 38, 963-974.
-
(1982)
Biometrics
, vol.38
, pp. 963-974
-
-
Laird, N.M.1
Ware, J.H.2
-
17
-
-
0030527892
-
Generalized linear mixed-effects with a finite-support random-effects distribution: A maximum-penalized-likelihood approach
-
LEUNG, K. M. and ELASHOFF, R. M., 1995: Generalized linear mixed-effects with a finite-support random-effects distribution: a maximum-penalized-likelihood approach. Biom. J. 38, 135-151.
-
(1995)
Biom. J.
, vol.38
, pp. 135-151
-
-
Leung, K.M.1
Elashoff, R.M.2
-
18
-
-
0000525359
-
The geometry of mixture likelihoods: A general theory
-
LINDSAY, B. G., 1983: The geometry of mixture likelihoods: A general theory. Ann. Statist. 12, 86-94.
-
(1983)
Ann. Statist.
, vol.12
, pp. 86-94
-
-
Lindsay, B.G.1
-
19
-
-
5744249209
-
Equations of state calculations by fast computing machines
-
METROPOLIS, N., ROSENBLUTH, A. W., ROSENBLUTH, M. N., TELLER, A. H. and TELLER, E., 1953: Equations of state calculations by fast computing machines. J. Chem. Phys. 21, 1087-1091.
-
(1953)
J. Chem. Phys.
, vol.21
, pp. 1087-1091
-
-
Metropolis, N.1
Rosenbluth, A.W.2
Rosenbluth, M.N.3
Teller, A.H.4
Teller, E.5
-
20
-
-
0003078723
-
Approximate Bayesian inference with the weighted likelihood bootstrap
-
NEWTON, M. A. and RAFTERY, A. E., 1994: Approximate Bayesian inference with the weighted likelihood bootstrap. J. R. Statist. Soc. 56, 3-48.
-
(1994)
J. R. Statist. Soc.
, vol.56
, pp. 3-48
-
-
Newton, M.A.1
Raftery, A.E.2
-
21
-
-
0000458272
-
Using the SIR algorithm to simulate posterior distributions
-
BERNARDO, J. M., DEGROOT, M. H., LINDLEY, D. V. and SMITH, A. F. M. (eds.), Oxford University Press, Oxford
-
RUBIN, D. B., 1988: Using the SIR algorithm to simulate posterior distributions. In: BERNARDO, J. M., DEGROOT, M. H., LINDLEY, D. V. and SMITH, A. F. M. (eds.), Bayesian Statistics 3. Oxford University Press, Oxford, 395-402.
-
(1988)
Bayesian Statistics
, vol.3
, pp. 395-402
-
-
Rubin, D.B.1
-
22
-
-
0028235008
-
Analysis of longitudinal data: Random coefficient regression modelling
-
RUTTER, C. M. and ELASHOFF, R. M., 1993: Analysis of longitudinal data: random coefficient regression modelling. Statist. Med. 13, 1211-1231.
-
(1993)
Statist. Med.
, vol.13
, pp. 1211-1231
-
-
Rutter, C.M.1
Elashoff, R.M.2
-
23
-
-
0000120766
-
Estimating the dimension of a model
-
SCHWARZ, G., 1984: Estimating the dimension of a model. Ann. Statist. 6, 461-464.
-
(1984)
Ann. Statist.
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
24
-
-
84950758368
-
The calculation of posterior distributions by data augmentation (with discussion)
-
TANNER, M. and WONG, W., 1987: The calculation of posterior distributions by data augmentation (with discussion). J. Am. Statist. Assoc. 82, 528-550.
-
(1987)
J. Am. Statist. Assoc.
, vol.82
, pp. 528-550
-
-
Tanner, M.1
Wong, W.2
-
25
-
-
0004020258
-
Tools for statistical inference, observed data and data augmentation methods
-
Springer-Verlag, New York
-
TANNER, M., 1991: Tools for statistical inference, observed data and data augmentation methods. Lecture Notes in Statistics no. 67, Springer-Verlag, New York.
-
(1991)
Lecture Notes in Statistics
, vol.67
-
-
Tanner, M.1
-
26
-
-
84950871099
-
Accurate approximations for posterior moments and marginals
-
TIERNEY, L. and KADANE, J., 1986: Accurate approximations for posterior moments and marginals. J. Am. Statist. Assoc. 81, 82-86.
-
(1986)
J. Am. Statist. Assoc.
, vol.81
, pp. 82-86
-
-
Tierney, L.1
Kadane, J.2
-
27
-
-
84910906566
-
Generalized linear models with random effects: A Gibbs sampling approach
-
ZEGER, S. L. and KARIM, M. R., 1991: Generalized linear models with random effects: A Gibbs sampling approach. J. Am. Statist. Assoc. 86, 79-86.
-
(1991)
J. Am. Statist. Assoc.
, vol.86
, pp. 79-86
-
-
Zeger, S.L.1
Karim, M.R.2
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