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On the Use of Information Criteria for Model Selection in Phylogenetics
Edward Susko
,
Andrew J. Roger
Biochemistry, Genetics and Molecular Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Citations (Scopus)
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Keyphrases
Partition Model
100%
Model Selection
100%
Information Criteria
100%
Akaike Information Criterion
66%
Bayesian Information Criterion
33%
AICc
33%
Estimation Model
16%
Biased Estimation
16%
Tree Model
16%
Phylogenetic Models
16%
Small Weight
16%
Number of Parameters
16%
Bayes Factor
16%
Edge Length
16%
Mixture Model
16%
Log-likelihood Ratio
16%
Large Trees
16%
Model Setting
16%
Kullback-Leibler Divergence
16%
Better Approximation
16%
Small Edges
16%
Incorrect Models
16%
Mathematics
Information Criterion
100%
Model Selection
100%
Akaike Information Criterion
100%
Bayesian Information Criterion
50%
Mixture Model
25%
Edge
25%
Cross-Validation
25%
True Distribution
25%
Log Likelihood
25%
Get_parameters
25%
Biased Estimate
25%
Estimated Model
25%
Kullback-Leibler Divergence
25%
Bayesian Model Comparison
25%
Psychology
Model Selection
100%
Akaike Information Criterion
100%
Bayesian Information Criterion
50%
Cross-Validation
25%
Mixture Model
25%
Bayes Factor
25%
Agricultural and Biological Sciences
Cladistics
100%
Economics, Econometrics and Finance
Kullback-Leibler Divergence
50%