论文信息 - Multivariate Boundary Kernels from Local Linear Estimation

Multivariate Boundary Kernels from Local Linear Estimation

Lejeune & Sarda (1992) and Jones (1993) introduced the principle of local linear estimation to nonparametric estimation of smooth densities on the positive real axes. This methodology results in the basic kernel smoother with Gasser & Muller (1979) type boundary kernels when estimating close to a boundary. This principle is extended to nonparametric multivariate density estimation with arbitrary boundary regions.

Jens Perch Nielsen

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