کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1150114 957913 2011 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Generalised data augmentation and posterior inferences
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Generalised data augmentation and posterior inferences
چکیده انگلیسی

This paper explores the use of data augmentation in settings beyond the standard Bayesian one. In particular, we show that, after proposing an appropriate generalised data-augmentation principle, it is possible to extend the range of sampling situations in which fiducial methods can be applied by constructing Markov chains whose stationary distributions represent valid posterior inferences on model parameters. Some properties of these chains are presented and a number of open questions are discussed. We also use the approach to draw out connections between classical and Bayesian approaches in some standard settings.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 141, Issue 1, January 2011, Pages 156–171
نویسندگان
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