Sentence examples for model rate autocorrelation from inspiring English sources

All phylogenetic analyses were conducted using BEAST v1.4.8 [ 33] incorporating a lognormal relaxed molecular clock to model rate autocorrelation.

This study is the first to use partitioned Bayesian analyses with models of rate autocorrelation (i.e., the relaxed molecular clock) and complete mitochondrial genomes to elucidate the phylogenetic relationships of Cetacea and age of each clade.

Our phylogenetic analysis of complete mitochondrial genomes using recently developed models of rate autocorrelation resolved the phylogenetic relationships of the major Cetacean lineages with a high degree of confidence.

The semi-parametric rate smoothing method implements a stochastic model of rate change based on the hypothesis of rate autocorrelation between adjacent branches [ 31, 35] whereas others attempt to model rate variation across the tree in a Bayesian framework [ 32- 36, 36, 43].

The authors mistake "relaxed molecular clock" for "approximate molecular clock": approximate molecular clocks correspond to model rate variation over time (e.g. with autocorrelation).

This suggests potential for development of a hybrid model that accommodates both pieces of information and that future studies test assumptions of rate autocorrelation before invoking them, at least for the tree depth that we consider here.

The Bayesian uncorrelated relaxed clock-model as implemented in BEAST [ 108, 109] was used as a primary dating method because it allows for rate variation across branches and measures for rate autocorrelation between lineages.

This result suggests that rate autocorrelation is insignificant [ 23] and BEAST (without rate-autocorrelation assumption), rather than MultiDivTime (with rate-autocorrelation assumption), would be more appropriate for the data and calibration choices in our study.

His technique involved a mathematical model called autocorrelation.

To benchmark our models, we constructed a basic ARIMA model with one autocorrelation term.

The Durbin-Watson statistic is close to 2, suggesting that the model has no autocorrelation.