jealousy 发表于 2025-3-25 03:48:53

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Aqueous-Humor 发表于 2025-3-25 10:23:46

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legacy 发表于 2025-3-25 12:52:55

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错误 发表于 2025-3-25 19:20:24

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floodgate 发表于 2025-3-25 21:16:31

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Wordlist 发表于 2025-3-26 03:18:45

Protecting Against Gross Errors: The Aid of Bayesian Methods,rs a natural framework for treating this kind of problem. Different methods are presented: robustness analysis considering the sensitivity of inference to the model specification; and approximations to Bayesian solutions which are for a large class of models and sometimes preferable to the exact solutions valid only for a particular model.

强有力 发表于 2025-3-26 04:21:55

Simulation in the General First Order Autoregressive Process (Unidimensional Normal Case),the deterministic case of iterations and the non-deterministic case of autoregressive process. In addition, we describe the behaviour of the invariant measures associated with the relevent process when there is little white noise.

brother 发表于 2025-3-26 12:01:34

Theory and Applications of Least Squares Approximation in Bayesian Analysis,ms, to linear models and to the estimation of distribution functions are presented to illustrate the theory and to point out how an approximation to a broader model may offer a useful alternative to the exact solution of a narrower model.

Lyme-disease 发表于 2025-3-26 13:03:40

From Non Parametric Regression to Non Parametric Prediction: Survey of the Mean Square Error and Oron for L. consistency is obtained and the rate of convergence of the predictogram is investigated..These different non parametric methods are studied from an asymptotic statistics point of view and in connection with the more general problem of model choice.

NAUT 发表于 2025-3-26 19:29:17

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查看完整版本: Titlebook: Specifying Statistical Models; From Parametric to N J. P. Florens,M. Mouchart,A. F. M. Smith Conference proceedings 1983 Springer Science+B