The methods discussed and applied here can be used to analyze any kind of short time series of many interacting variables for inferring the regulatory network.
In this paper we introduce the Extended Bayesian Skyline Plot (EBSP), a new variable-dimension Bayesian method for inferring non-parametric population size changes through time from multiple loci.
A substantial number of empirical experiments with the WI survey generally show that the survey is appropriate for explorative research but not necessary for inferring relationship between variables (de Pedraza et al. 2010; Tijdens and Steinmetz 2016).
Structural equation modeling (SEM) is considered an appropriate method for inferring the causal relationship between several variables.
This intron was highly variable in length and composition, which was an additional characteristic for inferring the proper subfamily.
The mitochondrial gene order is also not useful for inferring their phylogenetic relationships, because it is highly variable in ectoprocts, brachiopods and some other lophotrochozoan phyla.
Forward models are more useful for inferring causal relationships [43] and so were preferentially used to infer the influential variables of carbon storage and sequestration.
Forward models are more useful for inferring causal relationships [ 43] and so were preferentially used to infer the influential variables of carbon storage and sequestration.
As a result, stochastic grammars provide a robust means for inferring unobserved quantities from the data, e.g., the dependence of recruitment dynamics on unmeasured latent variables.
Median-joining networks for inferring intraspecific phylogenies.
