Can auxiliary variables be used in research on refugee flows?

Oct 7, 2020 ... Topic 33: Auxiliary Variables (PETARS, Chapter 5) ... Captions may be available for this content for accessibility purposes. They may not always ... Whitaker, Salina Wu, "The Combined Impact of Continuous and Ordinal Auxiliary Variables on Missing Data Imputation in SEM" (2021). Electronic Theses and ... 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 ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ... Aug 12, 2019 ... I want to iterate over then with an auxiliar variable, like i, because when some condition is met (like EC is different of RG), I want that this iteration go ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be incomplete. Automatically add auxiliary variables to a lavaan model when using full information maximum likelihood (FIML) to handle missing data. 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 ... This article, empirically, investigates to ascertain the importance of correlation level in the use of auxiliary variable in estimating the population parameter Abstract. We present a new approach to sample from generic binary distributions, based on an exact Hamiltonian Monte Carlo algorithm applied to a piecewise ...