On Misspecification in Cusp-Type Change-Point ...
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Pré-publication ou Document de travail
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Titre :
On Misspecification in Cusp-Type Change-Point Models
Auteur(s) :
Chernoyarov, O [Auteur]
Tomsk State University [Tomsk]
Moscow Power Engineering Institute [MPEI]
Dachian, Serguei [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Kutoyants, Yu [Auteur]
Laboratoire Manceau de Mathématiques [LMM]
Tomsk State University [Tomsk]
Moscow Power Engineering Institute [MPEI]
Tomsk State University [Tomsk]
Moscow Power Engineering Institute [MPEI]
Dachian, Serguei [Auteur]

Laboratoire Paul Painlevé - UMR 8524 [LPP]
Kutoyants, Yu [Auteur]
Laboratoire Manceau de Mathématiques [LMM]
Tomsk State University [Tomsk]
Moscow Power Engineering Institute [MPEI]
Mot(s)-clé(s) en anglais :
misspecification
inhomogeneous Poisson process
parameter estimation
cusp-type change-point
inhomogeneous Poisson process
parameter estimation
cusp-type change-point
Discipline(s) HAL :
Mathématiques [math]/Statistiques [math.ST]
Résumé en anglais : [en]
The problem of parameter estimation by i.i.d. observations of an inhomogeneous Poisson process is considered in situation of misspecification. The model is that of a Poissonian signal observed in presence of a homogeneous ...
Lire la suite >The problem of parameter estimation by i.i.d. observations of an inhomogeneous Poisson process is considered in situation of misspecification. The model is that of a Poissonian signal observed in presence of a homogeneous Poissonian noise. The intensity function of the process is supposed to have a cusp-type singularity at the change-point (the unknown moment of arrival of the signal), while the supposed (theoretical) and the real (observed) levels of the signal are different. The asymptotic properties of pseudo MLE are described. It is shown that the estimator converges to the value minimizing the Kullback-Leibler divergence, that the normalized error of estimation converges to some limit distribution, and that its polynomial moments also converge.Lire moins >
Lire la suite >The problem of parameter estimation by i.i.d. observations of an inhomogeneous Poisson process is considered in situation of misspecification. The model is that of a Poissonian signal observed in presence of a homogeneous Poissonian noise. The intensity function of the process is supposed to have a cusp-type singularity at the change-point (the unknown moment of arrival of the signal), while the supposed (theoretical) and the real (observed) levels of the signal are different. The asymptotic properties of pseudo MLE are described. It is shown that the estimator converges to the value minimizing the Kullback-Leibler divergence, that the normalized error of estimation converges to some limit distribution, and that its polynomial moments also converge.Lire moins >
Langue :
Anglais
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Date de dépôt :
2025-01-24T15:43:47Z
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