Fig. 10 Energy variance level over different number of nodes.
Krolzig (1997) extends the MS-AR models to allow a change in mean, parameters, and variance over the different states of a series.
In an optimally normalized experiment the residual standard deviation of fitted gene expression intensities should be low and independent of the expression levels, i.e. the variance over the different expression levels should be stable.
In Wu et al. (18), the first-order autoregressive [AR(1)] model is used, which assumes the stationarity of the residual variance and correlation over different flight speeds.
Further, because the variance in nu was obtained using the empirical variance estimate in counts over different sensors, it is a very unreliable estimate of the variance, and hence extreme caution should be used in the interpretation of reported precision measures.
Future planned work will investigate the impacts of alternative choices for the prior variance, including changes to the variance over time and different correlation structure.
The variance of fitness or gene expression Sign(x i) of identical networks over L runs gives V ip or V ip(i), while the variances of their mean over different networks J ij give V g or V g(i).
Since this dataset includes embryo-to-embryo variability, i.e. the variation of system parameters and experimental conditions over different embryos, the variance of the ensemble profile will be an upper bound for the average variance within each embryo.
Figure 7 plots the variance over time for four different admixture histories, each with the same total contributions s1 and s2, but quite different sex-specific contributions (s 1 f, s 1 m, s 2 f, s 2 m ).
The lower bound on the average variance of the CIR estimator over different taps can be obtained by assuming that the tap estimates are independent.
