Large deviation principle in nonparametric estimation of marked point processes
The nonparametric estimation problem of intensity measure of a homogeneous Poisson random measure is considered, based on an eventually partial observation of the jumps amplitude. We prove a large deviation principle for a kernel type estimator and we explicitly identify its rate function.
Year of publication: |
1999
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Authors: | Florens, Danielle ; Pham, Huyên |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 41.1999, 4, p. 383-388
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Publisher: |
Elsevier |
Keywords: | Large deviation Marked point process Kernel estimator |
Saved in:
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