Sentence examples for conditional predictor from inspiring English sources

Exact(1)

In the second step, the response is predicted through a conditional predictor where the estimators obtained in the first step are utilized.

Similar(58)

The maximum candidate probability reflects the maximum probability of BSI for an individual record, and so the prior was derived as: VOI = 0, with 1 ‒ P max candidate probabilities 1, with P max candidate probabilities A likelihood for the VOI was derived from the distribution of the VOI in unequivocally linked records, conditional on predictor variables in the admissions file.

Further, the availability of PIAAC scores on workers' literacy and numeracy competencies allows us also to explore whether OJT affects workers' proficiency conditional on predictors of previously acquired skills, including educational attainment or family background.

Conditional models estimate predictor effects for patients in the specific clusters.

To model and predict day-ahead, intra-day, and real-time prices, the Holt Winter (HW) and the Generalized Autoregressive Conditional Heteroscedastic (GARCH) predictors are combined using a proposed Markov switch.

For the conditional standards, the predictors examined were GA and the previous AC or EFW.

Conditional upon these predictors, these data are consistent with the two pathogens being independent.

Missing values were estimated by using multivariable regression models that were conditional on relevant predictors.

The quality of the estimated probabilities of success, conditional on the predictors, was evaluated using bias and efficiency.

To detect distinctive features of the subgroups, the selected covariates (age, MPHpre, MPHVisit 1, MPHVisit 2, conduct problems, emotional symptoms) were included in the model as predictors (conditional growth mixture model).

Baseline drinking status (ever vs never tried alcohol) did not predict attrition, but to account for attrition bias related to other variables, estimation was carried out after multiple imputation using the standard missing at random assumption (ie, missing data are assumed missing at random conditional on observed predictors included in the model).

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