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arxiv: 1212.5715 · v1 · pith:CCX62XKBnew · submitted 2012-12-22 · 🧮 math.ST · stat.ME· stat.TH

Nondegeneracy of Random Field and Estimation of Diffusion

classification 🧮 math.ST stat.MEstat.TH
keywords randomfieldlikelihoodnondegeneracyquasianalysisprovesampling
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We construct a quasi likelihood analysis for diffusions under the high-frequency sampling over a finite time interval. For this, we prove a polynomial type large deviation inequality for the quasi likelihood random field. Then it becomes crucial to prove nondegeneracy of a key index chi_0. By nature of the sampling setting, chi_0 is random. This makes it difficult to apply a naive sufficient condition, and requires a new machinery. In order to establish a quasi likelihood analysis, we need quantitative estimate of the nondegeneracy of chi_0. The existence of a nondegenerate local section of a certain tensor bundle associated with the statistical random field solves this problem.

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