How are auxiliary variables used in financial forecasting? What is the role of auxiliary variables in sales forecasting?

Oct 7, 2020 ... Topic 33: Auxiliary Variables (PETARS, Chapter 5) ... Captions may be available for this content for accessibility purposes. They may not always ... Mar 4, 2025 ... Holmes, C C; Held, L (2006). Bayesian auxiliary variable models for binary and multinomial regression. Bayesian Analysis, 1(1):145-168. of the VARIABLE command. If an auxiliary variable is specified as (R) the PC method will be used and the variable will be treated as a latent class predictor. . 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 ... Oct 23, 2017 ... We propose a new approach, which we term as scalar auxiliary variable (SAV) approach, to construct efficient and accurate time ... Dec 30, 2015 ... ... auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the ... Jul 11, 2024 ... A way to evolve this auxiliary state without having it get integrated along with the ODE state. Adding this feature would likely come with some practical and ... ... auxiliary-variable values will be computed for each steady-state solution. ... data item 7b), and auxiliary variables in data items 6b and 8b. A separate ... Auxiliary variables are variables introduced into a model, either because it is difficult to express the constraints at all in terms of the existing variables, ... Different sorts of auxiliary variables variables measured at previous waves, frame variables and paradata - can be used to improve the accuracy of ...