![gtr evolution model gtr evolution model](https://vossenwheels.com/wp-content/uploads/2020/08/Nissan-GTR-EVO-R-Series-EVO-2R-%C2%A9-Vossen-Wheels-2020-450-1047x698.jpg)
Mix of Bayesian motivation and information theory (Bayesian information criterion – BIC).Decision Theory (Decision Theoretic Risk – DT or R).Information Theory (Akaike’s “an Information Criterion” – AIC).Frequentist Hypothesis Testing (Likelihood Ratio Test – LRT).Some of these theoretical foundations (with their associated model selection criteria) are: 1), but they are often based on different theoretical foundations. All model selection methods try to find “a best approximating model” (Burnham and Anderson 1998) that balances these two competing sources of error (Fig. The use of overly simplistic models of evolution that ignore fundamentally important processes occurring in nature can result in systematic error (bias) in the results, while the use of overly complex models can result in stochastic error (inflated variance). More complex models require the estimation of more parameters, while the finite sample of data contains the same amount of information. The more complex a model becomes, the better it will fit to the data. The use of statistical approaches to select an appropriate model of sequence evolution for phylogenetic inference is well-established and built on a robust literature (Sullivan and Joyce, 2005). “Essentially, all models are wrong, but some are useful.” – George E.P.
![gtr evolution model gtr evolution model](https://www.kentmodels.co.uk/wp-content/uploads/2020/10/A6D4FE56-04EB-4DF1-83AA-12B7562FA6CD-scaled.jpeg)
How do I know that the model I’ve chosen will give me trustworthy results?Īnswering the first question is known as model selection and answering the second question is known as assessing model plausibility (or model adequacy).Which model is most appropriate for analyzing my set of DNA sequences?.There are two closely related questions that then arise: However, each model that we might use for inference makes a different set of assumptions about how DNA evolves, resulting in differences of interpretation about the phylogenetic information contained in the sequence. In the same way that a language translator receives information in one language and translates that information into a language that is understandable to others, a model of sequence evolution translates the information in a set of sequences into phylogenetic information that can be directly interpreted by a biologist. They can loosely be thought of as interpreters of the phylogenetic information in our sequence data. Models of the DNA substitution process are fundamental to statistical phylogenetic inference. PuMA & AMP Tutorial (3.9.14) PuMA & AMP Tutorial PuMA & AMP Tutorial Files Introduction and Theory 3.2.7 Interpreting and Visualizing Output.