Abstract
The kernel method of density estimation is not so attractive when the density has its support confined to (0, ∞), particularly when the density is unsmooth at the origin. In this situation the method of orthogonal series is competitive. We consider three essentially different orthogonal series—those based on the even and odd Hermite functions, respectively, and that based on Laguerre functions—and compare them from the point of view of mean integrated square error.
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Hall, P. Estimating a density on the positive half line by the method of orthogonal series. Ann Inst Stat Math 32, 351–362 (1980). https://doi.org/10.1007/BF02480339
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DOI: https://doi.org/10.1007/BF02480339