What is the relationship between auxiliary variables and contextual variables?

Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... A new dependent variable that is not part of the physics interface is used, right-click either of these nodes to add an Auxiliary Dependent Variable subnode. Dec 5, 2012 ... The inclusion of auxiliary variables can improve a multiple imputation model. However, inclusion of too many variables leads to downward bias of ... Nov 12, 2017 ... When the parameter space is high dimensional, the performance of stochastic sampling algorithms is very sensitive to existing dependencies ... The AuxVariables block within the input file may be used to create auxiliary variables that act, with respect to the interaction with other objects. We consider data as in Figure 1, where X1 is an auxiliary variable measured with error for all n sampled individuals, X2 is the underlying true value of X1, ... Jul 10, 1990 ... Let x be a program variable. Let the auxiliary variable s be the sequence of distinct values assumed by x. initially s = hhxii. {hhxii is the ... Different sorts of auxiliary variables variables measured at previous waves, frame variables and paradata - can be used to improve the accuracy of ... Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. 10 Dec 2021 · Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin ... auxiliary variable given a set of other Z variables already in an imputation model, similar to the conditional partial R indicators of Schouten et al. (201 ...