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CONVERGENCE RATE OF MULTIVARIATE K-NEAREST NEIGHBOR DENSITY ESTIMATES

CONVERGENCE RATE OF MULTIVARIATE K-NEAREST NEIGHBOR DENSITY ESTIMATES
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摘要 Let be the collection of m-times continuously differentiable probability densities fon R<sup>d</sup> such that 丨D<sup>a</sup>f(x<sub>1</sub>)-D<sup>a</sup>f(x<sub>2</sub>)丨≤M‖x<sub>1</sub>-x<sub>2</sub>‖<sup>β</sup> for x<sub>1</sub>,x<sub>2</sub>∈R<sup>d</sup>,[a]=m,where D<sup>a</sup>denotes the differential operator defined by D<sup>a</sup>=([a])/(x<sub>1</sub><sup>a</sup>…x<sub>d</sub><sup>a</sup><sub>d</sub>).Under rather weak conditionson K(x),the necessary and sufficient conditions for sup丨<sub>n</sub>(x)-f(x)丨=0(((logn/n)<sup>λ</sup>/(d+3λ),λ=m+β,f∈ are that ∫x<sup>a</sup>K(xi)dx=0 for 0【[a]≤m.Finally the convergenco rate at apoint is given. Let F be the collection of m-times continuously differentiable probability densities f on R(d) such that \D(a)f(x1)-D(a)f(x2)\ less-than-or-equal-to M parallel-to x1 - x2 parallel-to beta for x1, x2 is-a-member-of R(d), [a] = m, where D(a) denotes the differential operator defined by [GRAPHICS] Under rather weak conditions on K(x), the necessary and sufficient conditions for sup [GRAPHICS] lambda = m + beta, f is-a-member-of F are that integral x(a)K (xi)dx = 0 for 0 < [a] less-than-or-equal-to m. Finally the convergence rate at a point is given.
作者 杨振海
出处 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 1990年第4期536-545,共10页 数学年刊(B辑英文版)
基金 The project supported by National Natural Science Foundation of China.
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