Can auxiliary variables be used in historical research?

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 ... Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans. Poster ... Slice sampling¶ ... The auxiliary y variable allows us to sample (x,y) points that are in the region under the graph of the target distribution. Only the x ... Dec 30, 2015 ... ... auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the ... 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 ... Auxiliary-variable Exact Hamiltonian Monte. Carlo Samplers for Binary Distributions. Ari Pakman and Liam Paninski. Department of Statistics. Center for ... Jan 8, 2025 ... Auxiliary Variable: Additional variables that are added to a linear programming problem that allow the use of logic that otherwise would not be ... Nov 12, 2017 ... When the parameter space is high dimensional, the performance of stochastic sampling algorithms is very sensitive to existing dependencies ... Percent of Market Untapped is an auxiliary variable that represents a calculation: Potential Customers divided by Total Market Size. Connect the new variables ...