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: | Lee Jeonghwa |
---|---|
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!
|
Ejemplares similares
-
Generalized Bernoulli process with long-range dependence and fractional binomial distribution
por: Lee Jeonghwa
Publicado: (2021) -
A Climate-Mathematical Clustering of Rainfall Stations in the Río Bravo-San Juan Basin (Mexico) by Using the Higuchi Fractal Dimension and the Hurst Exponent
por: Francisco Gerardo Benavides-Bravo, et al.
Publicado: (2021) -
On the type 2 poly-Bernoulli polynomials associated with umbral calculus
por: Kim Taekyun, et al.
Publicado: (2021) -
On copulas of self-similar Ito processes
por: Jaworski Piotr, et al.
Publicado: (2021) -
A note on polyexponential and unipoly Bernoulli polynomials of the second kind
por: Ma Minyoung, et al.
Publicado: (2021)