The phrase "a set of marginal" is not complete and lacks context, making it difficult to determine its correctness in written English.
It could be used in contexts discussing marginal notes, marginal costs, or marginal benefits, but it needs additional information to clarify its meaning.
Example: "The report included a set of marginal notes that highlighted key points for further discussion."
Alternatives: "a collection of marginal" or "a group of marginal".
He collaborated with several of the greatest German artists of the day on a set of marginal drawings for the emperor's prayer book.
Table 2 reports the GLM coefficients and a set of marginal effects.
Conversely, given a set of marginal distributions, different dependence structures can give rise to different joint distributions.
The method optimizes a scalar cost function of the Fisher information matrix over a set of marginal distributions of stationary processes.
Finally, a set of marginal safe configurations of fueling facility system are presented, together with an analysis of distribution characteristics of blast pressure, directionality of explosion.
The proposed distributed algorithm requires communications only between neighboring sensors and computes a set of marginal distributions using the BP message passing [18].
Mr. Marthaler gives us less an opera whole than a catalog of humor, a set of witty marginal notes to an original text.
In the second approach, the PC representation is obtained by having recourse to the Rosenblatt transformation and simultaneously matching a set of target marginal pdfs and target Spearman's rank correlation coefficient (SRCC) matrix.
The BayesDiallel model includes a comprehensive set of marginal effects that try to explain phenotypic variation through the linear combination of distinct strain-specific effects; but it also provides extensive scope for identifying statistical interactions between strains in the form of cross-specific effects (i.e., epistasis that may or may not depend on parent of origin and/or sex).
Related to FIM and PLR, adaptive group lasso (AGL) [ 43] adds all possible interaction effects at first and second order to a group lasso model, with L1-norm penalized logistic regression used to identify a sparse set of marginal and interaction terms.
The inverse problem is to determine whether a set of fragmentary probabilities or marginal distributions is conformable in the sense that there exists a probability space or joint distribution that yields these fragmentary probabilities or marginal distributions.
