Discuss the use of auxiliary variables in propensity score weighting.

The AuxVariables block within the input file may be used to create auxiliary variables that act, with respect to the interaction with other objects. 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 ... Feb 9, 2021 ... ... auxiliary variables in terms of the CPU seconds and number of iterations. aux denotes auxiliary variable(s). Full size table. In the cases ... May 22, 2018 ... We propose a general framework for nonlinear ICA, which, as a special case, can make use of temporal structure. It is based on augmenting the data by an ... Sensitive variable;; Non-response;; Auxiliary variable;; Ratio estimator;; Product estimator. full text sources. Elsevier. |. © The SAO Astrophysics Data System. Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans. Poster ... 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 ... Jul 9, 2017 ... Note that s has no interpretation in this model whatsoever; this is just an auxiliary parameter to help us simulate and update the t- ... Apr 23, 2018 ... The current study provides an overview of systematic approaches that allows researchers to investigate models involving moderation, conditional effects on ...