Generalized Bernoulli process: simulation, estimation, and application

A generalized Bernoulli process (GBP) is a stationary process consisting of binary variables that can capture long-memory property. In this paper, we propose a simulation method for a sample path of GBP and an estimation method for the parameters in GBP. Method of moments estimation and maximum like...

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Autor principal: Lee Jeonghwa
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Lenguaje:EN
Publicado: De Gruyter 2021
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Acceso en línea:https://doaj.org/article/f0700b7d663e47219f5ca350dcfb991e
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spelling oai:doaj.org-article:f0700b7d663e47219f5ca350dcfb991e2021-12-05T14:10:46ZGeneralized Bernoulli process: simulation, estimation, and application2300-229810.1515/demo-2021-0106https://doaj.org/article/f0700b7d663e47219f5ca350dcfb991e2021-07-01T00:00:00Zhttps://doi.org/10.1515/demo-2021-0106https://doaj.org/toc/2300-2298A generalized Bernoulli process (GBP) is a stationary process consisting of binary variables that can capture long-memory property. In this paper, we propose a simulation method for a sample path of GBP and an estimation method for the parameters in GBP. Method of moments estimation and maximum likelihood estimation are compared through empirical results from simulation. Application of GBP in earthquake data during the years of 1800-2020 in the region of conterminous U.S. is provided.Lee JeonghwaDe Gruyterarticlegeneralized bernoulli processbernoulli processlong-range dependencehurst exponentearthquake data60g1060g20Science (General)Q1-390MathematicsQA1-939ENDependence Modeling, Vol 9, Iss 1, Pp 141-155 (2021)
institution DOAJ
collection DOAJ
language EN
topic generalized bernoulli process
bernoulli process
long-range dependence
hurst exponent
earthquake data
60g10
60g20
Science (General)
Q1-390
Mathematics
QA1-939
spellingShingle generalized bernoulli process
bernoulli process
long-range dependence
hurst exponent
earthquake data
60g10
60g20
Science (General)
Q1-390
Mathematics
QA1-939
Lee Jeonghwa
Generalized Bernoulli process: simulation, estimation, and application
description A generalized Bernoulli process (GBP) is a stationary process consisting of binary variables that can capture long-memory property. In this paper, we propose a simulation method for a sample path of GBP and an estimation method for the parameters in GBP. Method of moments estimation and maximum likelihood estimation are compared through empirical results from simulation. Application of GBP in earthquake data during the years of 1800-2020 in the region of conterminous U.S. is provided.
format article
author Lee Jeonghwa
author_facet Lee Jeonghwa
author_sort Lee Jeonghwa
title Generalized Bernoulli process: simulation, estimation, and application
title_short Generalized Bernoulli process: simulation, estimation, and application
title_full Generalized Bernoulli process: simulation, estimation, and application
title_fullStr Generalized Bernoulli process: simulation, estimation, and application
title_full_unstemmed Generalized Bernoulli process: simulation, estimation, and application
title_sort generalized bernoulli process: simulation, estimation, and application
publisher De Gruyter
publishDate 2021
url https://doaj.org/article/f0700b7d663e47219f5ca350dcfb991e
work_keys_str_mv AT leejeonghwa generalizedbernoulliprocesssimulationestimationandapplication
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