If so, what are the considerations when using multiple auxiliary variables? How does multicollinearity among auxiliary variables affect estimation?

Auxiliary-variable Exact Hamiltonian Monte. Carlo Samplers for Binary Distributions. Ari Pakman and Liam Paninski. Department of Statistics. Center for ... A new family of estimators is proposed for estimating the population mean with auxiliary information on the sample mean and the rank of the auxiliary variable. This article, empirically, investigates to ascertain the importance of correlation level in the use of auxiliary variable in estimating the population parameter Nov 10, 2020 ... Title:Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration ... Abstract:Discrete structures play an important role in ... Any dynamic variable that is computed from other variables at a given time. Auxiliaries are typically the most numerous variable type. An auxiliary variable has ... 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 ... The likelihood function is adjusted so that incomplete observations are used in estimation. Implemented in Stata's sem command with the method(mlmv) option. 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- ... Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Auxiliary variable ... Auxiliary variables are used in model assisted surveys to guide the selection of the sample sites. (loosely from Lohr, p. 60-61).