"seminal model" is a correct and commonly used phrase in written English.
It refers to a model or theory that is considered highly influential or groundbreaking in a particular field or subject. Example: "The seminal model proposed by Einstein revolutionized the way we understand the concept of space and time."
His early study of the Lake Michigan dunes served as a seminal model for later students who continued to study the ecological relations of plants and animals at the site.
Moreover, a generic, conceptual wireless technology standard development model is "mapped", a further refinement of an earlier seminal model of telecommunications standard-setting.
As Fischer Black and Myron Scholes demonstrated in 1973 with their seminal model for determining the value of a stock option, the "no arbitrage" assumption provides individuals with a rational basis for putting a fair price on a variety of financial instruments.
On the contrary, [12, 13] extend the seminal model by assuming that the elements of the interaction matrix are time-dependent.
Some approaches, like the seminal model of Lee and Carter and several of its extensions, extrapolate past mortality trends with a time-invariant age schedule of mortality change and may induce, therefore, systematic forecast errors (e.g., Booth et al. 2006).
This extension of the model has been extensively studied and compared to the seminal model of Abrams and Strogatz for the case of socially equivalent languages and linear dependence on the density of speakers [19].
Consequently, phylogeographic patterns of European brown bears were included in Hewitt's seminal models of glacial contraction and postglacial expansion5,6.
Jaguar's chief designer, Ian Callum, says certain seminal models have had such profound impact that they influence all the cars that come later.
Spatial attraction between humans as the central component of flocking behaviour has been simulated in a number of seminal models but it has not been detected experimentally in human groups so far.
In other words, is it possible to unify at least partially the seminal models?
In the simplest variants of the seminal models, efficient networks are easily characterized and conditions for their stability established.
