Can auxiliary variables be used in research on international law?

The full model outperformed all auxiliary variable selection strategies in the simulation study, with the LASSO strategy the best performing auxiliary variable ... Nov 12, 2017 ... When the parameter space is high dimensional, the performance of stochastic sampling algorithms is very sensitive to existing dependencies ... 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, ... ... 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 ... 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 ... Different sorts of auxiliary variables variables measured at previous waves, frame variables and paradata - can be used to improve the accuracy of ... The likelihood function is adjusted so that incomplete observations are used in estimation. Implemented in Stata's sem command with the method(mlmv) option. The AuxVariables block within the input file may be used to create auxiliary variables that act, with respect to the interaction with other objects. auxiliary variable given a set of other Z variables already in an imputation model, similar to the conditional partial R indicators of Schouten et al. (201 ... Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. 10 Dec 2021 · Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin ...