Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process

The log-likelihood of a nonhomogeneous Branching Diffusion Process under several conditions assuring existence and uniqueness of the diffusion part and nonexplosion of the branching process. Expressions for different Fisher information measures are provided. Using the semimartingale structure of the...

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Main Authors: Pablo Olivares, Janko Hernandez
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2012/515192
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author Pablo Olivares
Janko Hernandez
author_facet Pablo Olivares
Janko Hernandez
author_sort Pablo Olivares
collection DOAJ
description The log-likelihood of a nonhomogeneous Branching Diffusion Process under several conditions assuring existence and uniqueness of the diffusion part and nonexplosion of the branching process. Expressions for different Fisher information measures are provided. Using the semimartingale structure of the process and its local characteristics, a Girsanov-type result is applied. Finally, an Ornstein-Uhlenbeck process with finite reproduction mean is studied. Simulation results are discussed showing consistency and asymptotic normality.
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institution Kabale University
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publishDate 2012-01-01
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series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-2cf5a7234aeb4137aba36b68a8efb6562025-08-20T03:55:16ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252012-01-01201210.1155/2012/515192515192Maximum Likelihood Estimators for a Supercritical Branching Diffusion ProcessPablo Olivares0Janko Hernandez1Department of Mathematics, Ryerson University, Toronto, ON, M5B 2K3, CanadaSchool of Business, ITAM, 01000 Mexico City, DF, MexicoThe log-likelihood of a nonhomogeneous Branching Diffusion Process under several conditions assuring existence and uniqueness of the diffusion part and nonexplosion of the branching process. Expressions for different Fisher information measures are provided. Using the semimartingale structure of the process and its local characteristics, a Girsanov-type result is applied. Finally, an Ornstein-Uhlenbeck process with finite reproduction mean is studied. Simulation results are discussed showing consistency and asymptotic normality.http://dx.doi.org/10.1155/2012/515192
spellingShingle Pablo Olivares
Janko Hernandez
Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process
International Journal of Mathematics and Mathematical Sciences
title Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process
title_full Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process
title_fullStr Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process
title_full_unstemmed Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process
title_short Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process
title_sort maximum likelihood estimators for a supercritical branching diffusion process
url http://dx.doi.org/10.1155/2012/515192
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