Can auxiliary variables be used in criminology?

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 ... Sep 29, 2010 ... Even though one categorical latent class variable is a known class variable, you still have two categorical latent variables in the analysis so ... Good auxiliary variables can also be correlates or predictors of missingness. Let's create a set of missing data flags for each variable to be imputed. We will ... 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 ... Mar 4, 2025 ... Holmes, C C; Held, L (2006). Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis, 1(1):145-168. Feb 14, 2025 ... Abstract. We present a novel optimization algorithm, a relaxed vector auxiliary variable (RVAV), that satisfies an unconditional energy ... Dec 2, 2020 ... In this article, an auxiliary variable inductor, of which the equivalent inductance can be controlled by adjusting the dc current in its ... We stipulate a new structural rule for adjusting auxiliary variables when strengthening preconditions and weakening postconditions. Courtesy of this new rule, ... ... auxiliary variable. The authors derived the expressions for the mean squared error of the proposed estimators up to the first order of approximation. It was ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ...