Non-parametric log-concave mixtures
نویسندگان
چکیده
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalized likelihood smoothing algorithm is developed. The penalty is chosen to favor a log-concave result. The standard EM algorithm (“split and fit”) can be used. Theoretical results and applications are presented. © 2006 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Computational Statistics & Data Analysis
دوره 51 شماره
صفحات -
تاریخ انتشار 2007