Zasada minimaksu i procedury optymalne w statystycznych problemach decyzyjnych przy niepełnej informacji a priori
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- Type
- article
- Published
- 2008-01-01
- Cited by
- 1
- References
- 143
- OpenAlex
- https://openalex.org/W27418012
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:116162995
Keywords
A priori and a posteriori, Computer science, Mathematics, Epistemology, Philosophy
References
- MINIMAX ESTIMATION IN SCALE PARAMETER FAMILIES WHEN THE PARAMETER INTERVAL IS BOUNDED
- ROBUST BAYESIAN ESTIMATION IN THE ONE-DIMENSIONAL NORMAL MODEL
- MINIMAX- AND Γ-MINIMAX ESTIMATION OF A BOUNDED NORMAL MEAN UNDER LINEX LOSS
- MINIMAX ESTIMATION OF A BOUNDED SCALE PARAMETER FOR SCALE-INVARIANT SQUARED-ERROR LOSS
- Γ-ΜΙΝΙΜΑΧΙΤΥ OF A GENERALIZED BAYES UNBIASED ESTIMATOR IN A MULTIVARIATE LINEAR MODEL
- Loss Reserving: An Actuarial Perspective
- ROBUST BAYESIAN ANALYSIS WITH DISTRIBUTION BANDS
- Some Results On Posterior Regret Γ-Μινιμαχ Estimation
- Estymatory o Г-minimaksowej utracie a posteriori dla pewnych rozkładów dyskretnych
- Stability and conditional Γ-minimaxity in Bayesian inference
- Prior probabilities - the pleasure of bayesian inference
- Robust Bayesian Prediction with Asymmetric Loss Function in Poisson Model of Insurance Risk
- Real estate price prediction under asymmetric loss
- On Bayesian robustness with the ε-contamination class of priors
- Estimation in restricted parameter spaces: a review
- On the efficiency of affine minimax rules in estimating a bounded multivariate normal mean
- Optymalne decyzje : zasady programowania
- Robust Bayesian estimation in a normal model with asymmetric loss function
- On the minimax estimator of a bounded normal mean
- A CONTRIBUTION TO MODELLING OF IBNR CLAIMS
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