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  • 标题:Confidence Bands for Densities, Logarithmic Point of View
  • 本地全文:下载
  • 作者:Abdelkader Mokkadem ; Mariane Pelletier
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2006
  • 卷号:II
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:

    Let f be a probability density and C be an interval on which f is
    bounded away from zero. By establishing the limiting distribution of the uniform
    error of the kernel estimates fn of f, Bickel and Rosenblatt (1973) provide con-
    dence bands Bn for f on C with asymptotic level 1 .. 2]0; 1[. Each of the
    con dence intervals whose union gives Bn has an asymptotic level equal to one;
    pointwise moderate deviations principles allow to prove that all these intervals
    share the same logarithmic asymptotic level. Now, as soon as both pointwise and
    uniform moderate deviations principles for fn exist, they share the same asymptotics.
    Taking this observation as a starting point, we present a new approach for
    the construction of con dence bands for f, based on the use of moderate deviations
    principles. The advantages of this approach are the following: (i) it enables to
    construct con dence bands, which have the same width (or even a smaller width)
    as the con dence bands provided by Bickel and Rosenblatt (1973),but which have
    a better aymptotic level; (ii) any con dence band constructed in that way shares
    the same logarithmic asymptotic level as all the con dence intervals, which make
    up this con dence band; (iii) it allows to deal with all the dimensions in the same
    way; (iv) it enables to sort out the problem of providing con dence bands for f
    on compact sets on which f vanishes (or on all Rd), by introducing a truncating
    operation.

  • 关键词:Probability Densities;Asymptotics
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