How are auxiliary variables used in program evaluation? What is the role of auxiliary variables in performance measurement?

Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration. Hanjun Dai · Rishabh Singh · Bo Dai · Charles Sutton · Dale Schuurmans. Poster ... 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 ... 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 ... 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]. 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- ... Jul 11, 2024 ... A way to evolve this auxiliary state without having it get integrated along with the ODE state. Adding this feature would likely come with some practical and ... Dec 30, 2015 ... ... auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the ... Aug 27, 2024 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Jun 9, 2014 ... If an auxiliary variable is specified as (DE3STEP) the three-step method will be used and the variable will be treated as a distal variable with ... Oct 1, 2019 ... Adjustment of the Auxiliary Variable(s) for Estimation of a Finite Population Mean. Language: English. Keywords: model based approach; percent ...