通过数据扩充计算后验分布的评论：当缺失信息比例适中时，针对数据扩充算法创建少量插补的非迭代采样/重要性再采样替代方法：SIR算法

Donald B. Rubin (Mon,) 研究了这个问题。

www.synapsesocial.com/papers/69d8c4842c39562886ae29fe — DOI: https://doi.org/10.2307/2289460

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples· 1932 · 221 citations
2. Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician· 1984 · 1,378 citations
3. Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse· 1986 · 732 citations
4. Multiple Imputation for Nonresponse in Surveys· 1987 · 20,472 citations
5. Inference and missing data