The phrase "a model assuming that" is correct and usable in written English.
It can be used when discussing theoretical frameworks or hypotheses in various fields, such as science, economics, or social studies.
Example: "The research is based on a model assuming that all variables are independent of each other."
Alternatives: "a framework positing that" or "a theory suggesting that".
The out of equilibrium pattern hypothesis has been suggested in [28] in the framework of a model assuming that the HB and KNI proteins diffuse along the antero-posterior axis of the embryo of Drosophila.
However, a model assuming that all three tests are conditional dependent given disease status is unidentifiable and can as such not be evaluated without specifying informative priors.
Combining these alternatives provides 9 models in a 3 × 3 factorial model space, plus the additional 2 control models (standard Rescorla Wagner model and a model assuming that the true probabilities were known to the subjects).
To test for correlated evolution between parasitoid body shape and attacking hosts with specific pupation sites (Table 2), we compared the likelihoods of a model assuming independent evolution to a model assuming that the two traits coevolved [ 27].
To test whether tyloids and antennal coiling evolved in a correlated manner, we compared the likelihoods of a model assuming independent evolution to a model assuming that the two traits co-evolve [ 48].
Specifically, they involve dividing predictive ability computed from an RR-BLUP model, assuming that genotypes are correlated, by the square root of heritability computed from a model assuming that genotypes are uncorrelated.
Rather than trying to estimate an event effect, which makes no sense since these cannot be estimated, we suggest to use a mixture model assuming that a priori the horse population is a mixture.
On the opposite, this paper proposes a statistical model assuming that each DCT coefficient has a different expectation and variance.
For reference, we chose a probabilistic model assuming that the genome is generated by a memoryless or Markov source.
A plugs model assuming that the sample depth, and hence the production rate, is constant, and a burial model assuming that the sample depth, and hence the production rate, varies through time, yield lateral displacement rate of 37±5 and 68±6 m Myr−1, respectively.
It is based on fitting data to a simplified model, assuming that the noise variable is independent of the signal.
