Likelihood and the Bayes procedure

Trabajos de Estadistica Y de Investigacion Operativa

Volumn 31, Issue 1, 1980, Pages 143-166

  Akaike, Hirotugu ^a  

^a INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

Author keywords

Aic; Bayes procedure; Likelihood; Seasonal adjustment

Indexed keywords

EID: 51849177370     PISSN: 00410241     EISSN: 18638260     Source Type: Journal    
DOI: 10.1007/BF02888350     Document Type: Article

References (23)

1. A new look at the statistical model identification
2. A new look at the Bayes procedure
3. A Bayesian analysis of the minimum AIC procedure
4. A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
5. Ignorance prior distribution of a hyperparameter and Stein’s estimator
6. Bayesianism: Its unifying role for both the foundation and application of statistics
7. The duality of parameter and sample
8. A statistical paradox
9. Curve fitting and optimal design for prediction
10. Subjective probability and statistical practice
11. Estimating the dimension of a model
12. A distributed lag estimator derived from smoothness priors
13. Seasonal adjustments by electronic computer methods
14. Incorrect problems of linear algebra and a stable method for their solution
15. Bayesian inference and axioms of consistent decision