This section describes the concepts of the proposed analysis of neutral solution spaces, i.e., of multiple model parameter sets with similar dynamics; all technical details are presented in the later Methods section.
Secondly, multiple model parameter sets (k1,n, k2,n, k3,n, k4,n) to produce a "good fit" were selected if their associated score was both strongly and positively correlated with MMSE score, as well as being strongly and negatively correlated with IADL score using a nonparametric Spearman correlation coefficient as the criterion distance of good fit.
By model interpolation, we mean that the target synthesis model set is a convex combination of multiple synthesis model sets.
Since a fixed component and a performance-based pay component play different roles in inducing high levels of effort in a multiple-period model setting, throughout this paper, the different ways that the two components contribute to wage rigidity are explained.
Bagging (Breiman 1996) which is also known as bootstrap aggregation involves training multiple models with training sets of data randomly drawn with replacement from the base training data sets.
54 For example, although we evaluated multiple models using alternative sets of covariates, the estimates from the original studies might have been prone to residual confounding.
Since each model uses different gene sets and was optimized in distinct training sets, when multiple models are applied to the same independent validation set they all identify low-risk and high-risk cohorts but also tend to show substantial discordance (20 to 30%) in risk assignment at the individual case level.
K.K. Barrett's Model Sets.
In order to achieve this objective, the operations of a cooling tower are first characterized using a data-driven method, multiple models, which presents a set of local models in the format of linear equations.
