Cargando…
Comparison of Estimation Procedures for Multilevel AR(1) Models
To estimate a time series model for multiple individuals, a multilevel model may be used. In this paper we compare two estimation methods for the autocorrelation in Multilevel AR(1) models, namely Maximum Likelihood Estimation (MLE) and Bayesian Markov Chain Monte Carlo. Furthermore, we examine the...
Autores principales: | Krone, Tanja, Albers, Casper J., Timmerman, Marieke E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4876370/ https://www.ncbi.nlm.nih.gov/pubmed/27242559 http://dx.doi.org/10.3389/fpsyg.2016.00486 |
Ejemplares similares
-
A comparative simulation study of AR(1) estimators in short time series
por: Krone, Tanja, et al.
Publicado: (2015) -
Bayesian Gaussian distributional regression models for more efficient norm estimation
por: Voncken, Lieke, et al.
Publicado: (2020) -
Improving confidence intervals for normed test scores: Include uncertainty due to sampling variability
por: Voncken, Lieke, et al.
Publicado: (2018) -
Bias-Variance Trade-Off in Continuous Test
Norming
por: Voncken, Lieke, et al.
Publicado: (2020) -
Mindfulness training promotes upward spirals of positive affect and cognition: multilevel and autoregressive latent trajectory modeling analyses
por: Garland, Eric L., et al.
Publicado: (2015)