Sentence examples for model rate change from inspiring English sources

As a third approach, the Bayesian MULTIDISTRIBUTE package [ 100] represents an attempt to explicitly model rate change across a tree [ 67, 101, 102].

We implemented a Yule process speciation prior and an uncorrelated lognormal (UCLN) model of rate change, with clock models unlinked between partitions.

I assumed the uncorrelated lognormal (UCLN) prior model of rate change, and a Yule or "pure-birth" prior process to model speciation.

Nonetheless, to confirm that the RLC model is performing appropriately, we do explore the temporal rate variation process in further detail using an explicitly temporal model of rate change.

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].

It consists of a set of simultaneous equations which model rate of change in prevalence over time.

Censored model   Survival rate Change versus baseline   12 months 24 months 12 months 24 months Overall 42.9 65.7 17.4 14.5 Education    Primary or less 47.6 67.8 19.2 16.0    Secondary, 1st st.

The uncorrelated Bayesian model of rate change implemented in BEAST ver. 1.4.4 [13] was used to estimate divergence times and to determine rates.

Here I used the Bayesian approach detailed below to determine these rates under an uncorrelated lognormal model of rate change [13].

The methods described above were compared with two existing dating methods: penalized likelihood and an uncorrelated Bayesian model of rate change.

To test the impact of such a procedure on our hybrid local clock procedures, I first obtained branch-specific rates under an uncorrelated model of rate change, and then fed these rates to the hybrid methods.