How do auxiliary variables relate to latent variables? Can auxiliary variables be used to improve the efficiency of simulations?

Dynare will introduce auxiliary endogenous variables—along with corresponding auxiliary equations—which will appear in the final output ... 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 ... ... auxiliary variables of a calibration model, no matter how complex the model is. Lastly, as a third strong point, the totals estimated by aux.estimates will ... Auxiliary-variable Exact Hamiltonian Monte. Carlo Samplers for Binary Distributions. Ari Pakman and Liam Paninski. Department of Statistics. Center for ... As there are no demonstrations for intermediate steps in the local search, we treat it as an auxiliary variable model. To learn this negative sampler ... Jul 28, 2020 ... The RSS procedure using ranking on auxiliary variable for estimating the ratio-type estimators is described by Koyuncu (2015) as: k2 bivariate ... The auxiliary information can be a categorical variable (e.g. the county of the unit), in which case the categories or groups of categories ... . The variables in Y are called auxiliary variables. An auxiliary variable y is called dependent if and only if in the first item above all extensions a0 ... Feb 19, 2016 ... If you have a function z = f(x, y), it may be helpful to introduce a temporary variable u to work with. Example: if z = (sin(x) + cos(y))3 and ... May 22, 2018 ... We propose a general framework for nonlinear ICA, which, as a special case, can make use of temporal structure. It is based on augmenting the data by an ...