کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
416260 | 681316 | 2006 | 24 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Techniques for generic probabilistic inversion
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Probabilistic inversion problems are defined, existing algorithms for solving such problems are discussed, and new algorithms based on iterative re-weighting of a sample are introduced. One of these is the well-known iterative proportional fitting whose properties were already studied (Csiszar, Ann. Probab. (3) (1975) 146). A variant on this is shown to have fixed points minimizing an information functional, even if the problem is not feasible, and is shown to have only feasible fixed points if the problem is feasible. The algorithm is not shown to converge, but the relative information of successive iterates is shown to converge to zero. Applications to atmospheric dispersion and environmental transport are discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 5, 1 March 2006, Pages 1164–1187
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 5, 1 March 2006, Pages 1164–1187
نویسندگان
C. Du, D. Kurowicka, R.M. Cooke,