How can cross-validation be used in the context of auxiliary variables? What is the role of auxiliary variables in propensity score matching?

Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be incomplete. The U.S. Geological Survey's Land Change Monitoring, Assessment, and Projection (LCMAP) initiative is a new end-to-end capability to continuously track and ... variable of interest Y, using the ranking variable X as an auxiliary variable when the population mean µx is unknown. The proposed estimators fare better ... Dec 18, 2017 ... You cannot change the values of auxiliaries. The best thing to do is split the parameter into it's parts. Apr 17, 2018 ... I have three ordinal variables relating to public spending preferences that are all strongly correlated. One of them is missing around a 103 observations, ... The full model outperformed all auxiliary variable selection strategies in the simulation study, with the LASSO strategy the best performing auxiliary variable ... 2.1 Requirement: Functions that compute auxiliary variables should have simple, intuitive calling arguments . Auxiliary variables take in constant data as ... mathematical formulation to many of these data ex- traction and reconstruction algorithms by adding an auxiliary variable in the energy in a way similar to [2]. Dec 2, 2020 ... In this article, an auxiliary variable inductor, of which the equivalent inductance can be controlled by adjusting the dc current in its ... Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans. Poster ...