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arxiv: 1610.04093 · v2 · pith:7YISSJQGnew · submitted 2016-10-13 · 🧮 math.ST · stat.TH

Local Asymptotic Normality for Shape and Periodicity in the Drift of a Time Inhomogeneous Diffusion

classification 🧮 math.ST stat.TH
keywords diffusionlocalperiodicityshapethetaasymptoticdriftknown
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We consider a one-dimensional diffusion whose drift contains a deterministic periodic signal with unknown periodicity $T$ and carrying some unknown $d$-dimensional shape parameter $\theta$. We prove Local Asymptotic Normality (LAN) jointly in $\theta$ and $T$ for the statistical experiment arising from continuous observation of this diffusion. The local scale turns out to be $n^{-1/2}$ for the shape parameter and $n^{-3/2}$ for the periodicity which generalizes known results about LAN when either $\theta$ or $T$ is assumed to be known.

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