Adaptive mixture density estimation
نویسندگان
چکیده
A~trac t -A recursive, nonparametric method is developed for performing density estimation derived from mixture models, kernel estimation and stochastic approximation. The asymptotic performance of the method, dubbed "adaptive mixtures" (Priebe and Marchette, Pattern Recognition 24, 1197-1209 (1991)) for its data-driven development of a mixture model approximation to the true density, is investigated using the method of sieves. Simulations are included indicating convergence properties for some simple examples.
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ورودعنوان ژورنال:
- Pattern Recognition
دوره 26 شماره
صفحات -
تاریخ انتشار 1993