Large deviations for template matching between point processes

dc.creatorChi, Zhiyi
dc.date2005-03-22
dc.date.accessioned2026-07-07T05:18:13Z
dc.date.available2026-07-07T05:18:13Z
dc.descriptionWe study the asymptotics related to the following matching criteria for two independent realizations of point processes X\sim X and Y\sim Y. Given l>0, X\cap [0,l) serves as a template. For each t>0, the matching score between the template and Y\cap [t,t+l) is a weighted sum of the Euclidean distances from y-t to the template over all y\in Y\cap [t,t+l). The template matching criteria are used in neuroscience to detect neural activity with certain patterns. We first consider W_l(θ), the waiting time until the matching score is above a given threshold θ. We show that whether the score is scalar- or vector-valued, (1/l)\log W_l(θ) converges almost surely to a constant whose explicit form is available, when X is a stationary ergodic process and Y is a homogeneous Poisson point process. Second, as l\to\infty, a strong approximation for -\log [\Pr{W_l(θ)=0}] by its rate function is established, and in the case where X is sufficiently mixing, the rates, after being centered and normalized by \sqrtl, satisfy a central limit theorem and almost sure invariance principle. The explicit form of the variance of the normal distribution is given for the case where X is a homogeneous Poisson process as well.
dc.descriptionPublished at http://dx.doi.org/10.1214/105051604000000576 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0503463
dc.identifierhttp://arxiv.org/abs/math/0503463
dc.identifierAnnals of Applied Probability 2005, Vol. 15, No. 1A, 153-174
dc.identifierdoi:10.1214/105051604000000576
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/74587
dc.subjectProbability
dc.subject60F10 (Primary) 60G55 (Secondary)
dc.titleLarge deviations for template matching between point processes
dc.typetext

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