Bayesian Analysis of Multivariate Threshold Autoregressive Models with Missing Data
In some fields, we are forced to work with missing data in multivariate time series, unfortunately the analysis in this context cannot be done as in the case of complete data. Bayesian analysis of multivariate thresholds autoregressive models(MTAR) with exogenous inputs and missing data is carried o...
- Autores:
-
Calderón Villanueva, Sergio Alejandro
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/52159
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/52159
http://bdigital.unal.edu.co/46427/
- Palabra clave:
- 51 Matemáticas / Mathematics
Bayesian Analysis
Bayesian variable selection
Monte Carlo Markov Chain
Missing data
Multivariate threshold autoregressive model
Análisis Bayesiano
Selección Bayesiana de variables
Cadenas de Markov Monte Carlo
Datos Faltantes
Modelos multivariados autoregressivos de umbrales
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional