A network flow approach in finding maximum likelihood estimate of high concentration regions
نویسندگان
چکیده
A maximum likelihood estimation (MLE) method of high density regions in spatial point processes is introduced. The method is motivated from a network #ow approach for #exibly incorporating geometric restrictions in computing the MLEs. An easy-to-implement computational algorithm having a low order of complexity is provided. Simulation studies show that it performs very well in many di6cult situations, and reaches the global optimality. Two real data sets illustrate the applicability of the proposed method. c © 2003 Elsevier B.V. All rights reserved.
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عنوان ژورنال:
- Computational Statistics & Data Analysis
دوره 46 شماره
صفحات -
تاریخ انتشار 2004