Re: 有關minimax的文章涵意?
※ 引述《winniewo》之銘言：
我換個方式問好了
> 『Bayes estimator provide a tool for solving minimax problems.
貝氏估計量提供了一個解決minimax問題的工具
> Thus Bayesian considerations are helpful
> when choosing an optimal frequentist estimator.
這句話看不大懂,什麼是"optimal frequentist estimator"
> Viewed in this light, there is a
> synthesis of the two approaches.
由此觀點來看,就有一個兩種方法的"synthesis"
什麼是 synthesis of the two approches.
> The Bayesian approach provides us with a mean of
> constructing an estimator that has
> optimal frequentist properties.
貝式方法提供了我們 "with a mean of comstrcting"
估計量擁有 "optimal frequentist" 性質.
> This synthesis highlights important features
> of both the Bayesian and frequentist
> approaches.
這個"sythesis"突顯了貝式學與頻率學重要的特性
> The Bayesian paradigm is
> well suited for the construction of
> possibly optimal estimators, but is
> less well suited for their evaluation.
這句的意思不太了解
(1)什麼是construction of possibly optimal estimator
(2)什麼是their evalustion
(3)為什麼貝式適合的是(1)而較不適合(2)
> The frequentist oaradigm is complementary,
> as it is well suited for risk evaluations,
> but less well suited for construction.
這個問題也跟上面一樣...@@
> It is important to view these two
> approaches and hence "Average risk
> optimality" and "Minimaxity and admissibility"
> as complementary rather than adversarial;
> together they provide a rich set of tools
> and techniques for the statisticaian.
這是個對於在看這兩個方法是重要的,
因此"平均風險最佳性"與"大中取小性和允許性"
為互補的,而不是相互比較的,這兩個都同時提供了
統計學者一個好的工具與方法.
這是在統計教本中講貝氏估計量與
大中取小估計量的一段文章,我不是學
這方面的東西,but考試要考啊~我也很想看懂
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