How does the correlation between the auxiliary variable and the study variable affect the precision of estimates?

2.1 Requirement: Functions that compute auxiliary variables should have simple, intuitive calling arguments . Auxiliary variables take in constant data as ... Abstract. We present a new approach to sample from generic binary distributions, based on an exact Hamiltonian Monte Carlo algorithm applied to a piecewise ... Dec 18, 2017 ... You cannot change the values of auxiliaries. The best thing to do is split the parameter into it's parts. Any dynamic variable that is computed from other variables at a given time. Auxiliaries are typically the most numerous variable type. An auxiliary variable has ... 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 ... Feb 14, 2025 ... Abstract. We present a novel optimization algorithm, a relaxed vector auxiliary variable (RVAV), that satisfies an unconditional energy ... 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 ... Sensitive variable;; Non-response;; Auxiliary variable;; Ratio estimator;; Product estimator. full text sources. Elsevier. |. © The SAO Astrophysics Data System. We consider data as in Figure 1, where X1 is an auxiliary variable measured with error for all n sampled individuals, X2 is the underlying true value of X1, ... 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 ...