How are auxiliary variables used in official statistics? Can auxiliary variables be used to create synthetic populations?

... auxiliary variables. The variational principle contains a trial Hamiltonian H′ in an extended Hilbert space. For H′ equal to its optimal value H, the ... 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 ... While TLA+ properties have a lot of flexibility, they also have limits. You can't “forget” a property, like say “P is true until Q is true, after while P can be ... Dec 11, 2023 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Dec 13, 2019 ... Auxiliary variables are observed variables that are not of primary interest in your target model. They are included in the model for the sole ... The auxiliary information can be a categorical variable (e.g. the county of the unit), in which case the categories or groups of categories ... Oct 23, 2017 ... We propose a new approach, which we term as scalar auxiliary variable (SAV) approach, to construct efficient and accurate time ... Abstract. We present a new approach to sample from generic binary distributions, based on an exact Hamiltonian Monte Carlo algorithm applied to a piecewise ... The likelihood function is adjusted so that incomplete observations are used in estimation. Implemented in Stata's sem command with the method(mlmv) option. In the first part we describe a simple technique using joint updating that improves the performance of the conventional probit regression algorithm. In the ...