How are auxiliary variables used in regression discontinuity designs? What is the role of auxiliary variables in synthetic control methods?

... auxiliary variables. The variational principle contains a trial Hamiltonian H′ in an extended Hilbert space. For H′ equal to its optimal value H, the ... 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 ... Feb 20, 2020 ... I am running out of variable names. Most Latin and Greek letters are already in use. In the write-up, we used many auxiliary variables (as calculations ... Jul 22, 2020 ... Is there a way to introduce “auxiliary variables”, that will not be treated as proper variables but just as definitions? A new dependent variable that is not part of the physics interface is used, right-click either of these nodes to add an Auxiliary Dependent Variable subnode. of a study variable in two-phase sampling. These estimators utilize the information about extreme values and ranks of an auxiliary variable. Through a first ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ... Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Aug 28, 2020 ... Auxiliary variables (which is created by pyro.sample(name, dist, infer={'is_auxiliary': True}) are used internally in some special cases, which you might be ... 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, ...