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- W2066996979 abstract "In many situations, nonparametric inference in point-process theory consists in estimating a Radon-Nikodym derivative of a nonnegative measure p with respect to another nonnegative measure v, where p and v are intensities of point processes. We consider the case of a mixing andstrictly stationary sequence of point processes and establish convergence results for the kernel estimator. L inftrence non paramttrique en thtorie des processus ponctuels consiste souvent aestimer une dCrivCe de Radon-Nikodym d une mesure non ntgative p par rapport iune autre mesure non ntgative v, OG chacune des deux mesures est lintensitt dun processus ponctuel. Nousenvisageons le cas ou lobservation est une suite mtlangeante et strictement stationnaire de processus ponctuels et nous donnons des rtsultats de convergence de Iestimateur a noyau." @default.
- W2066996979 created "2016-06-24" @default.
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- W2066996979 date "1998-06-01" @default.
- W2066996979 modified "2023-10-15" @default.
- W2066996979 title "Convergence de I'estimateur à noyau de dérivées de Radon-Nikodym générales dans le cas mélangeant" @default.
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- W2066996979 doi "https://doi.org/10.2307/3315510" @default.
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