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...
Guardado en:
Autor principal: | |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
De Gruyter
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f0700b7d663e47219f5ca350dcfb991e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:f0700b7d663e47219f5ca350dcfb991e |
---|---|
record_format |
dspace |
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 |
_version_ |
1718371753365864448 |