کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
416781 | 681399 | 2013 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables](/preview/png/416781.png)
چکیده انگلیسی
Random Forests in combination with Stability Selection allow to estimate stable conditional independence graphs with an error control mechanism for false positive selection. This approach is applicable to graphs containing both continuous and discrete variables at the same time. Its performance is evaluated in various simulation settings and compared with alternative approaches. Finally, the approach is applied to two heath-related data sets, first to study the interconnection of functional health components, personal, and environmental factors and second to identify risk factors which may be associated with adverse neurodevelopment after open-heart surgery.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 64, August 2013, Pages 132–152
Journal: Computational Statistics & Data Analysis - Volume 64, August 2013, Pages 132–152
نویسندگان
Bernd Fellinghauer, Peter Bühlmann, Martin Ryffel, Michael von Rhein, Jan D. Reinhardt,