Discuss the use of auxiliary variables in research on emotions.

Also, it was established that estimators that are asymptotically optimum that utilized single auxiliary variable are more efficient than those that are not ... The full model outperformed all auxiliary variable selection strategies in the simulation study, with the LASSO strategy the best performing auxiliary variable ... Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, ... This article introduces a novel estimator known as the neutrosophic ratio-cum-product exponential estimator combining two auxiliary variables, specifically ... Aug 27, 2024 ... Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be ... Apr 23, 2018 ... The current study provides an overview of systematic approaches that allows researchers to investigate models involving moderation, conditional effects on ... Oct 7, 2020 ... Topic 33: Auxiliary Variables (PETARS, Chapter 5) ... Captions may be available for this content for accessibility purposes. They may not always ... Feb 14, 2025 ... Abstract. We present a novel optimization algorithm, a relaxed vector auxiliary variable (RVAV), that satisfies an unconditional energy ... Auxiliary-variable Exact Hamiltonian Monte. Carlo Samplers for Binary Distributions. Ari Pakman and Liam Paninski. Department of Statistics. Center for ... 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 ...