Kernel density estimation for spatial processes: the L_1 theory
The purpose of this paper is to investigate kernel density estimators for spatial processes with linear or nonlinear structures. Sufficient conditions for such estimators to converge in L1 are obtained under extremely general, verifiable conditions. The results hold for mixing as well as for nonmixi...
| Main Authors: | Hallin, M., Lu, Zudi, Tran, L. |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier
2004
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/10233 |
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