Publications related to 'AIC' : The AIC or Akaike Information Criterion is a criterion for model selection. More information on Wikipedia
 
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2012
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Yun Yu, James H. Degnan and Luay Nakhleh. The probability of a gene tree topology within a phylogenetic network with applications to hybridization detection. In PLoS Genetics, Vol. 8(4):e1002660, 2012.  
Keywords: AIC, BIC, explicit network, hybridization, phylogenetic network, phylogeny, statistical model.
Note: http://dx.doi.org/10.1371/journal.pgen.1002660.
       
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Hyun Jung Park and Luay Nakhleh. Inference of reticulate evolutionary histories by maximum likelihood: The performance of information criteria. In RECOMB-CG'12, Vol. 13(suppl 19):S12 of BMCB, 2012.  
Keywords: AIC, BIC, explicit network, heuristic, likelihood, phylogenetic network, phylogeny, reconstruction, statistical model.
Note: http://www.biomedcentral.com/1471-2105/13/S19/S12.
       

2011
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Alethea Rea. Statistical approaches to phylogenetic networks, recombination and testing of incongruence. PhD thesis, The University of Auckland, New Zealand, 2011.  
Keywords: abstract network, AIC, BIC, phylogenetic network, phylogeny, split, split network, statistical model.
Note: https://researchspace.auckland.ac.nz/handle/2292/67624.
       

2009
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Laura S. Kubatko. Identifying Hybridization Events in the Presence of Coalescence via Model Selection. In Systematic Biology, Vol. 58(5):478-488, 2009.  
Keywords: AIC, BIC, branch length, coalescent, explicit network, from rooted trees, from species tree, hybridization, lineage sorting, model selection, phylogenetic network, phylogeny, statistical model.
Note: http://dx.doi.org/10.1093/sysbio/syp055.