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首页> 外文期刊>Statistica Sinica >DISSECTING MULTIPLE IMPUTATION FROM A MULTI-PHASE INFERENCE PERSPECTIVE: WHAT HAPPENS WHEN GOD'S, IMPUTER'S AND ANALYST'S MODELS ARE UNCONGENIAL?
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DISSECTING MULTIPLE IMPUTATION FROM A MULTI-PHASE INFERENCE PERSPECTIVE: WHAT HAPPENS WHEN GOD'S, IMPUTER'S AND ANALYST'S MODELS ARE UNCONGENIAL?

机译:从多相推论的角度解剖多个归纳:当上帝,Imputer和分析师的模型是不包装的时候会发生什么?

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摘要

Real-life data are almost never really real. By the time the data arrive at an investigator's desk or disk, the raw data, however defined, have most likely gone through at least one "cleaning" process, such as standardization, re-calibration, imputation, or de-sensitization. Dealing with such a reality scientifically requires a more holistic multi-phase perspective than is permitted by the usual framework of "God's model versus my model." This article provides an in-depth look, from this broader perspective, into multiple-imputation (MI) inference (Rubin (1987)) under uncongeniality (Meng (1994)). We present a general estimating-equation decomposition theorem, resulting in an analytic (asymptotic) description of MI inference as an integration of the knowledge of the imputer and the analyst, and establish a characterization of self-efficiency (Meng (1994)) for regulating estimation procedures. These results help to reveal how the quality of and relationship between the imputer's model and analyst's procedure affect MI inference, including how a seemingly perfect procedure under the "God-versus-me" paradigm is actually inadmissible when God's, imputer's, and analyst's models are uncongenial to each other. Our theoretical investigation also leads to useful procedures that are as trivially implementable as Rubin's combining rules, yet with confidence coverage guaranteed to be minimally the nominal level, under any degree of uncongeniality. We reveal that the relationship is very complex between the validity of approaches taken for individual phases and the validity of the final multi-phase inference, and indeed that it is a nontrivial matter to quantify or even qualify the meaning of validity itself in such settings. These results and many open problems are presented to raise the general awareness that the multi-phase inference paradigm is an uncongenial forest populated by thorns, as well as some fruits, many of which are still low-hanging.
机译:现实生活数据几乎从未真正真实。当数据到达调查员的桌面或磁盘时,然而,定义的原始数据很可能经历至少一个“清洁”过程,例如标准化,重新校准,归纳或解除敏化。在科学上处理这种现实需要更全面的多相视角,而不是“上帝的模型与我的模型”的常规框架允许。本文从这个更广泛的角度来看,在未经单位的情况下,从这个更广泛的角度来看,从这个更广泛的角度进入多重估算(MI)推理(汉语(1987))(孟(1994))。我们介绍了一般估计方程分解定理,导致MI推断的分析(渐近)描述作为计数器和分析师的知识的整合,并建立了自我效率的表征(孟(1994))进行调控估算程序。这些结果有助于揭示计时器模型和分析师的程序之间的质量和关系如何影响MI推理,包括在上帝的,受力器和分析师的模型时实际上不可受到了似乎是一个看似完美的程序。彼此不包装。我们的理论调查还导致有用的程序,如鲁宾的结合规则,但在任何因程度的未经单位的情况下,有信心覆盖的信心覆盖率都保证了最低限度。我们揭示了这种关系在为单个阶段采取的方法的有效性和最终多相推断的有效性之间非常复杂,因此,在这种情况下量化甚至有资格获得有效性本身的含义是一种非凡的事项。这些结果和许多公开问题提高了多相推理范例是一个由荆棘填充的未经兴奋的森林,以及一些水果,其中许多仍然是低悬垂的。

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