Sentence examples for variable approach that from inspiring English sources

To establish causality for our first finding, we employ an instrumental variable approach that exploits an exogenous shock to the level of U.S. investment the passage of the Jobs and Growth Tax Relief Reconciliation Act in 2003.

The probability integral transform is used to develop an auxiliary variable approach that facilitates a single-level representation of both aleatory and epistemic uncertainty.

They introduced an instrumental variable approach that exploits all variation in conscription between fourteen birth cohorts for obtaining estimates of the short term wage effects for conscripts.

This paper presents latent variable approaches that exploit an auxiliary data information matrix, as well as the data matrix itself, for estimating missing data on raw material properties of rubbers used in formulating industrial polymer blends.

This model is based on a formulation of the wave equation as a system of first-order equations and uses a change of variables approach that has been developed to construct PML's for Maxwell's equations.

The model is tested using an instrumental variables approach that takes advantage of the relationship between market accessibility and exogenous geographic features of the landscape as well as spatial data derived from a unique global dataset characterizing country-level market accessibility distributions.

Potential endogeneity of migrant employment is addressed by an instrumental variables approach that accounts for the past geographic distribution of immigrants and the past culinary diversity of the municipality the firm is located in.

Variable importance in projection (VIP) is a simple filter-based variable selection approach that is proposed to assess the relevance of the variables in the PLS-DA model [ 30, 31].

To accomplish this goal, we propose a new variable selection approach that combines Stepwise Tuning in the Maximum Concordance Index (STMC) with Forward Nested Subset Selection (FNSS) in two stages.

The latent variable (LV) approach, that relates the observed scores to an underlying continuous measure of the disease activity, was proposed to model the three ACR scores simultaneously.

BMA is a variable selection approach that takes model uncertainty into account by averaging over the posterior distribution of a quantity of interest based on multiple models, weighted by their posterior model probabilities [ 82, 83].