In this simple toy-model example, we compare the performance of traditional Granger causality and harmonic Granger causality on four simple model configurations.
As a real modeling example, we used data and models from a previous work [ 45].
Although the algorithms discussed below have been adapted to this particular family of models used in the simulation example, we have attempted to layout broad steps whenever possible and provide a general scheme to be used in such cases.
As a model case, we give examples of salinity stress-inducible unannotated transcripts encoding putative functional proteins.
Using leukemia as an example disease model, we carried out an ' in silico personalized medicine' case study.
Thus, rather than other models, for example panel data regression model, we apply multivariate trend models.
When the joint model is an unsaturated multinomial model, we give an example where the conditional and marginal parameters ψ j and ψ ~ j are not distinct (see comment 1 of Proposition 1).
