Cargando…
Performance of Akaike Information Criterion and Bayesian Information Criterion in Selecting Partition Models and Mixture Models
In molecular phylogenetics, partition models and mixture models provide different approaches to accommodating heterogeneity in genomic sequencing data. Both types of models generally give a superior fit to data than models that assume the process of sequence evolution is homogeneous across sites and...
Autores principales: | Liu, Qin, Charleston, Michael A, Richards, Shane A, Holland, Barbara R |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10198649/ https://www.ncbi.nlm.nih.gov/pubmed/36575813 http://dx.doi.org/10.1093/sysbio/syac081 |
Ejemplares similares
-
A primer on model selection using the Akaike Information Criterion
por: Portet, Stéphanie
Publicado: (2020) -
Practical advice on variable selection and reporting using Akaike information criterion
por: Sutherland, Chris, et al.
Publicado: (2023) -
An improved sparse identification of nonlinear dynamics with Akaike information criterion and group sparsity
por: Dong, Xin, et al.
Publicado: (2022) -
Cost-effectiveness of community diabetes screening: Application of Akaike information criterion in rural communities of Nigeria
por: Anyasodor, Anayochukwu Edward, et al.
Publicado: (2022) -
Using Akaike's information theoretic criterion in mixed-effects modeling of pharmacokinetic data: a simulation study
por: Olofsen, Erik, et al.
Publicado: (2014)