A proposed nonparametric mixture density estimation using B-spline functions
نویسندگان
چکیده
In this paper, we suppose that a density of probability f is expressed as a finite linear combination of second order B-spline functions. Then, we obtain a finite mixture of B-spline. We extend the Expectation Maximization (EM) algorithm in order to estimate the new mixture density. The experiments show that the proposed estimator using B-spline functions can produce a satisfactory estimation of mixture density than gaussian classical theory.
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تاریخ انتشار 2016